[ת]ѭ֤ҽѧͳѧӢʻ

2010-02-03 12:56:03 AM

[ת]ѭ֤ҽѧͳѧӢʻ

"ҽҩ԰̳"ȡĴ

ѭ֤ҽѧͳѧӢʻ

.


(ο)

ֵĺƴΪ

A
ȫ Safety

B
quasi- randomized control trialqRCT
background questions
ֵ odds ratioOR
׼ standardized mean difference, SMD
case report
case analysis
˼ֵ patient alue ˴ɾ
Ԥ¼ patients expected eent rate, PEER
ҽѧ complementary and alternatie medicine, CAM
¼ aderse eent
ȷ uncertainty

C
Cochraneͼ Cochrane Library, CL
Cochraneϵͳ Cochrane systematic reiew, CSR
CochraneЭ Cochrane Collaboration, CC
Coxģ Cox proportional hazard model
οƫ References test bias
ۺ irritable bowel syndromeIRB
measurement ariation
ɱ-Ч cost-effectieness
ɱ-Ч cost-effectieness analysis
ɱ-Ч cost-benefit analysis
ɱ-Ч÷ cost-utility analysis
ɱССɱcost-minimization analysis
ظƫ Multiple publication bias
ͳҽѧ Traditional MedicineTM

D
DL DerSimonian & Laird method
һӦƵIJ
the number needed to harm one more patients from the therapyNNH
ԿƷ allopathic medicineAM
ij¼ķ control eent rateCER
طƫ multiple publication bias (ɾ˴)

E
о secondary studies
о֤ secondary research eidence

F
ƫ publication bias
ֹ1¼õ1ҪƵIJ
number needed to treatNNT
ͬڶ non-randomized concurrent control trial
ֲ stratified randomization
categorical ariable
գΣնȣ risk

G
co-interention
ƫ Workup bias
̶ЧӦģ fixed effect model
ٴвѧ International Clinical Epidemiology Network, INCLEN

H
ɫ grey literature
Ч reealuation
benefit

J
chance node
ƫ Spectrum bias
Technical properties
Ȩ weighted mean difference, WMD
ʣʣ false positie rate
ʣ©ʣ false negatie rate
simple randomization
search strategy
оƣ crossoer design
ѧ economic analysis
ѧ Economic attributes or impacts
ҽѧ empirical medicine
ȷ precision
߽ decision node
decision tree analysis
Ի absolute benefit increase, ABI
ΣնȽ absolute risk reduction, ARR
Σն absolute risk increase, ARI

K
ظ repeatabilityreproducibility
ɿԣŶȣ reliability
confidence interal CI
confidence limit CL

L
Logisticعģ Logistic regression model
ʷԶо historical control trial
ױ likelihood of being helped s harmed, LHH
Ա continuous ariable
ٴ controlled clinical trial, CCT
ٴ clinical outcome
ٴѧ clinical economics
ٴ߷ clinical decision analysis
ٴвѧ clinical epidemiology, CE
ٴʵָ clinical practice guidelines, CPG
ٴ clinical trial
ٴо֤ clinical research eidence
ٴ֤ clinical eidence
ٴֲ֤ handbook of clinical eidence
Zero time
flexibility
ٽ Cut off points
©ͼ funnel plots
ʲΣղ rate differencerisk differenceRD

M
Meta- Meta-analysis
ж sensitiity
Է sensitiity analysis
īֲ Merck manual
N
в Stroke Unit
ʵ internal alidity

P
ƫ bias

Q
ʼ inception cohort
ǰ-о before-after study

ǰ foreground questions
block randomization

S
ɢͼ scatter plots
ɭͼ forest plots
˲е disability adjusted life yearDALY
surial cures
ʱ surial time
quality of life
֯ World Health Organization, WHO
ʧȫ fail-Safe Number
ij¼ experimental eent rateEER
Ȼ likelihood Ratio, LR
applicability
߹ߣROCߣreceier operator characteristic cure
ٴ randomized clinical trials, RCT
randomized control trial, RCT
randomization concealment
ЧӦģ random effect model

T
specificity
ͬ colleague ealuation
ͳЧܣնȣ power
ͬԼ tests for homogeneity

W
ʵ external alidity
Ʒ per protocolPP
ۺ carpal tunnel syndrome, CTS
health technology
health technology assessment, HTA

X
ϵͳ systematic reiew, SR
Ի relatie benefit increase, RBI
Σն relatie riskRR
ΣնȽ relatie risk reduction, RRR
Σն relatie risk increase, RRI
Ч effectieness
Ч efficacy
ЧӦ߶ effect magnitude
ЧӦ effect size
sequential trial
ѡƫ selection bias
ѭ֤ѧ eidence-based pediatrics
ѭ֤ѧ eidence-based gynecology & obstetrics
ѭ֤ eidence-based purchasing
ѭ֤ eidence-based nursing
ѭ֤ eidence-based decision-making
ѭ֤ڿѧ eidence-based internal medicine
ѭ֤ɸѡ eidence-based selection
ѭ֤ѧ eidence-based surgery
ѭ֤ eidence-based health care
ѭ֤ eidence-based diagnosis
ѭ֤ҽѧ eidence-based medicine, EBM

Y
subgroup analysis
ϸ critical appraisal
post-test odds
post-test probability
ǰ pre-test odds
ǰ pre-test probability
Ԥֵ positie predictie alue
ԭʼо primary studies
Լ tests for heterogeneity
Ʒ intention-to-treat, ITT
Ԥֵ negatie predictie alue
ƫ citation bias
ȵָ Youdens index
ƫ language bias
Ԥ prognosis
Ԥ prognostic factor
Ԥָ prognostic index
ԭʼо֤ primary research eidence
ԭʼо֤Դ primary resources

Z
մȾ contamination
ʵԣЧȣ alidity
ϲձ׼ reference standard of diagnosis
ֵ testing threshold
ϩֵ test-treatment threshold
quality adjusted life yearQALY
ֵ Treatment threshold
׼ȷ accuracy
self-ealuation
֤ best eidence

Ӣ
Absolute deiation,
Absolute number,
Absolute residuals, Բв
Acceleration array, ٶ
Acceleration in an arbitrary direction, ⷽϵļٶ
Acceleration normal, ٶ
Acceleration space dimension, ٶȿռά
Acceleration tangential, ٶ
Acceleration ector, ٶ
Acceptable hypothesis, ɽܼ
Accumulation, ۻ
Accuracy, ׼ȷ
Actual frequency, ʵƵ
Adaptie estimator, Ӧ
Addition,
Addition theorem, ӷ
Additiity, ɼ
Adjusted rate,
Adjusted alue, Уֵ
Admissible error,
Aggregation, ۼ
Alternatie hypothesis,
Among groups,
Amounts,
Analysis of correlation, ط
Analysis of coariance, Э
Analysis of regression, ع
Analysis of time series, ʱз
Analysis of ariance,
Angular transformation, ת
ANOA analysis of ariance,
ANOA Models, ģ
Applicability ʵԣexternal aliditygeneralizabilityָоǷӦо ȺʵüֵƹӦõҪооʩʵʩͽѡ ׼
Arcing, /
Arcsine transformation, ұ任
Area under the cure,
AREG , һʱ㵽һʱعʱ
ARIMA, ںͷǼԵģ͵ļȻ
Arithmetic grid paper, ֽ
Arithmetic mean, ƽ
Arrhenius relation, ˹ϵ
Assessing fit, ϵ
Associatie laws,
Asymmetric distribution, ǶԳƷֲ
Asymptotic bias, ƫ
Asymptotic efficiency, Ч
Asymptotic ariance,
Attributable risk, Σն
Attrition bias ʧƫ
Attribute data,
Attribution,
Autocorrelation,
Autocorrelation of residuals, в
Aerage, ƽ
Aerage confidence interal length, ƽ䳤
Aerage growth rate, ƽ
Bar chart, ͼ
Bar graph, ͼ
Base period,
Bayes' theorem , Bayes
Bell-shaped cure,
Bernoulli distribution, Ŭֲ
Best-trim estimator, β
Bias, ƫ
Binary logistic regression, Ԫ߼˹ٻع
Binomial distribution, ֲ
Bisquare, ˫ƽ
Biariate Correlate,
Biariate normal distribution, ˫ֲ̬
Biariate normal population, ˫̬
Biweight interal, ˫Ȩ
Biweight M-estimator, ˫ȨM
Block, /
BMDP(Biomedical computer programs), BMDPͳ
Boxplots, ͼ/βͼ
Breakdown bound, /
Canonical correlation,
Caption, ݱĿ
Case-control study, о
Categoricalariable,
Catenary,
Cauchy distribution, ֲ
Cause-and-effect relationship, ϵ
Cell, Ԫ
Censoring, ռ
Center of symmetry, Գ
Centering and scaling, ĻͶ
Centraltendency,
Central alue, ֵ
CHAID -2 Automatic Interaction Detector, Զ
Chance,
Chance error,
Chance ariable,
Characteristic equation,
Characteristic root,
Characteristic ector,
Chebshe criterion of fit, ϵбѩ׼
Chernoff faces, жŵͼ
Chi-square test, /2
Choleskey decomposition, ˹ֽ
Circle chart, Բͼ
Class interal,
Class mid-alue, ֵ
Class upper limit,
Classified ariable,
Cluster analysis,
Cluster sampling, Ⱥ
Code,
Coded data,
Coding,
Coefficient of contingency, ϵ
Coefficient of determination, ϵ
Coefficient of multiple correlation, ϵ
Coefficient of partial correlation, ƫϵ
Coefficient of production-moment correlation, ϵ
Coefficient of rank correlation, ȼϵ
Coefficient of regression, عϵ
Coefficient of skewness, ƫϵ
Coefficient of ariation, ϵ
Cohort study, о
Column,
Column effect, ЧӦ
Column factor,
Combination pool, ϲ
Combinatie table, ϱ
Common factor,
Common regression coefficient, عϵ
Common alue, ֵͬ
Common ariance,
Common ariation,
Communality ariance, Է
Comparability, ɱ
Comparison of bathes, Ƚ
Comparison alue, Ƚֵ
Compartment model, ֲģ
Compassion,
Complement of an eent, ¼
Complete association, ȫ
Complete dissociation, ȫ
Complete statistics, 걸ͳ
Completely randomized design, ȫ
Composite eent, ¼
Composite eents, ¼
Concaity,
Conditional expectation,
Conditional likelihood, Ȼ
Conditional probability,
Conditionally linear,
Confidence interal,
Confidence limit,
Confidence lower limit,
Confidence upper limit,
Confirmatory Factor Analysis , ֤ӷ
Confirmatory research, ֤ʵʵо
Confounding factor,
Conjoint, Ϸ
Consistency,
Consistency check, һԼ
Consistent asymptotically normal estimate, Ͻ̬
Consistent estimate, Ϲ
Constrained nonlinear regression, ԼԻع
Constraint, Լ
Contaminated distribution, Ⱦֲ
Contaminated Gausssian, Ⱦ˹ֲ
Contaminated normal distribution, Ⱦֲ̬
Contamination, Ⱦ
Contamination model, Ⱦģ
Contingency table,
Contour, ߽
Contribution rate,
Control,
Controlled experiments, ʵ
Conentional depth,
Conolution,
Corrected factor, У
Corrected mean, Уֵ
Correction coefficient, Уϵ
Correctness, ȷ
Correlation coefficient, ϵ
Correlation index, ָ
Correspondence, Ӧ
Counting,
Counts, /Ƶ
Coariance, Э
Coariant,
Cox Regression, Coxع
Criteria for fitting, ׼
Criteria of least squares, С׼
Critical ratio, ٽ
Critical region, ܾ
Critical alue, ٽֵ
Cross-oer design,
Cross-section analysis,
Cross-section surey,
Crosstabs ,
Cross-tabulation table, ϱ
Cube root,
Cumulatie distribution function, ֲ
Cumulatie probability, ۼƸ
Curature, /
Curature,
Cure fit ,
Cure fitting,
Curilinear regression, ߻ع
Curilinear relation, ߹ϵ
Cut-and-try method, Է
Cycle,
Cyclist,
D test, D
Data acquisition, ռ
Data bank, ݿ
Data capacity,
Data deficiencies, ȱ
Data handling, ݴ
Data manipulation, ݴ
Data processing, ݴ
Data reduction,
Data set, ݼ
Data sources, Դ
Data transformation, ݱ任
Data alidity, Ч
Data-in,
Data-out,
Dead time, ͣ
Degree of freedom, ɶ
Degree of precision, ܶ
Degree of reliability, ɿԳ̶
Degression, ݼ
Density function, ܶȺ
Density of data points, ݵܶ
Dependent ariable, Ӧ//
Dependent ariable,
Depth,
Deriatie matrix,
Deriatie-free methods, ޵
Design,
Determinacy, ȷ
Determinant, ʽ
Determinant,
Deiation,
Deiation from aerage,
Diagnostic plot, ͼ
Dichotomous ariable, ֱ
Differential equation, ΢ַ
Direct standardization, ֱӱ׼
Discrete ariable, ɢͱ
DISCRIMINANT, ж
Discriminant analysis, б
Discriminant coefficient, бϵ
Discriminant function, бֵ
Dispersion, ɢ/ɢ
Disproportional, ɱ
Disproportionate sub-class numbers, ɱμ麬
Distribution free, ֲ޹/ֲ
Distribution shape, ֲ״
Distribution-free method, ֲ
Distributie laws,
Disturbance, Ŷ
Dose response cure, Ӧ
Double blind method, ˫ä
Double blind trial, ˫ä
Double exponential distribution, ˫ֲָ
Double logarithmic, ˫
Downward rank,
Dual-space plot, żռͼ
DUD, ޵
Duncan's new multiple range method, ¸/Duncan·
Effect, ʵЧӦ
Eigenalue, ֵ
Eigenector,
Ellipse, Բ
Empirical distribution, ֲ
Empirical probability, ʵλ
Enumeration data,
Equal sun-class number, ȴμ麬
Equally likely, ȿ
Equiariance, ͬ
Error, /
Error of estimate,
Error type I, һ
Error type II, ڶ
Estimand,
Estimated error mean squares,
Estimated error sum of squares, ƽ
Euclidean distance, ŷʽ
Eent, ¼
Eent, ¼
Exceptional data point, 쳣ݵ
Expectation plane, ƽ
Expectation surface,
Expected alues, ֵ
Experiment, ʵ
Experimental sampling,
Experimental unit, 鵥λ
Explanatory ariable, ˵
Exploratory data analysis, ̽ݷ
Explore Summarize, ̽-ժҪ
Exponential cure, ָ
Exponential growth, ָʽ
EXSMOOTH, ָƽ
Extended fit,
Extra parameter, Ӳ
Extrapolation, Ʒ
Extreme obseration, ĩ˹۲ֵ
Extremes, ֵ/ֵ
F distribution, Fֲ
F test, F
Factor, /
Factor analysis, ӷ
Factor Analysis, ӷ
Factor score, ӵ÷
Factorial, ׳
Factorial design,
False negatie,
False negatie error, Դ
Family of distributions, ֲ
Family of estimators,
Fanning,
Fatality rate,
Field inestigation, ֳ
Field surey, ֳ
Finitepopulation,
Finite-sample,
First deriatie, һ׵
First principal component, һɷ
First quartile, һķλ
Fisher information, ѩϢ
Fitted alue, ֵ
Fitting a cure,
Fixed base,
Fluctuation,
Forecast, Ԥ
Four fold table, ĸ
Fourth, ķֵ
Fraction blow,
Fractional error,
Frequency, Ƶ
Frequency polygon, Ƶͼ
Frontier point, ޵
Function relationship, ϵ
Gamma distribution, ٤ֲ
Gauss increment, ˹
Gaussian distribution, ˹ֲ/ֲ̬
Gauss-Newton increment, ˹-ţ
General census, ȫղ
GENLOG (Generalized liner models), ģ
Geometric mean, ƽ
Gini's mean difference,
GLM (General liner models), ͨģ
Goodness of fit, Ŷ/϶
Gradient of determinant, ʽݶ
Graeco-Latin square, ϣ
Grand mean, ֵܾ
Gross errors, ش
Gross-error sensitiity, ж
Group aerages, ƽ
Grouped data,
Guessed mean, ٶƽ
Half-life, ˥
Hampel M-estimators, M
Happenstance, żȻ¼
Harmonic mean, ;
Hazard function, վ
Hazard rate,
Heading, Ŀ
Heay-tailed distribution, βֲ
Hessian array, ɭ
Heterogeneity, ͬ
Heterogeneity of ariance, 
Hierarchical classification, ڷ
Hierarchical clustering method, ϵͳ෨
High-leerage point, ߸ܸʵ
HILOGLINEAR, ***IJζģ
Hinge, Ҷ
Histogram, ֱͼ
Historical cohort study, ʷԶо
Holes, ն
HOMALS, Ӧ
Homogeneity of ariance,
Homogeneity test, Լ
Huber M-estimators, ݲM
Hyperbola, ˫
Hypothesis testing,
Hypothetical unierse,
Impossible eent, ¼
Independence,
Independent ariable, Ա
Index, ָ/ָ
Indirect standardization, ӱ׼
Indiidual,
Inference band, ƶϴ
Infinitepopulation,
Infinitely great,
Infinitely small, С
Influence cure, Ӱ
Information capacity, Ϣ
Initial condition, ʼ
Initial estimate, ʼֵ
Initial leel, ˮƽ
Interaction,
Interaction terms,
Intercept, ؾ
Interpolation, ڲ巨
Interquartile range, ķλ
Interal estimation,
Interals of equal probability, ȸ
Intrinsic curature,
Inariance,
Inerse matrix,
Inerse probability,
Inerse sine transformation, ұ任
Iteration,
Jacobian determinant, ſɱʽ
Joint distribution function, ֲ
Joint probability, ϸ
Joint probability distribution, ϸʷֲ
K means method, 𲽾෨
Kaplan-Meier, ¼ʱ䳤
Kaplan-Merier chart, Kaplan-Merierͼ
Kendall's rank correlation, Kendallȼ
Kinetic, ѧ
Kolmogoro-Smirnoe test, ¶Ī-˹׶ŵ
Kruskal and Wallis test, KruskalWallis/Ⱥͼ/H
Kurtosis,
Lack of fit, ʧ
Ladder of powers, ݽ
Lag, ͺ
Large sample,
Large sample test,
Latin square,
Latin square design,
Leakage, й©
Least faorable configuration, 
Least faorable distribution, ֲ
Least significant difference, С
Least square method, С˷
Least-absolute-residuals estimates, СԲв
Least-absolute-residuals fit, СԲв
Least-absolute-residuals line, СԲв
Legend, ͼ
L-estimator, L
L-estimator of location, λL
L-estimator of scale, ߶L
Leel, ˮƽ
Life expectance, Ԥ
Life table,
Life table method,
Light-tailed distribution, βֲ
Likelihood function, Ȼ
Likelihood ratio, Ȼ
line graph, ͼ
Linear correlation, ֱ
Linear equation, Է
Linear programming, Թ滮
Linear regression, ֱ߻ع
Linear Regression, Իع
Linear trend,
Loading, غ
Location and scale equiariance, λó߶ͬ
Location equiariance, λͬ
Location inariance, λò
Location scale family, λó߶
Log rank test, ʱ
Logarithmic cure,
Logarithmic normal distribution, ֲ̬
Logarithmic scale, ߶
Logarithmic transformation, 任
Logic check, ߼
Logistic distribution, ߼˹طֲ
Logit transformation, Logitת
LOGLINEAR, ***ͨģ
Lognormal distribution, ֲ̬
Lost function, ʧ
Low correlation, Ͷ
Lower limit,
Lowest-attained ariance, Сɴ﷽
LSD, Сļ
Lurking ariable, DZڱ
Main effect, ЧӦ
Major heading, DZĿ
Marginal density function, ԵܶȺ
Marginal probability, Ե
Marginal probability distribution, Եʷֲ
Matched data,
Matched distribution, ƥֲ
Matching of distribution, ֲƥ
Matching of transformation, 任ƥ
Mathematical expectation, ѧ
Mathematical model, ѧģ
Maximum L-estimator, СL
Maximum likelihood method, Ȼ
Mean,
Mean squares between groups,
Mean squares within group, ھ
Means (Compare means), ֵ-ֵȽ
Median, λ
Median effectie dose, Ч
Median lethal dose,
Median polish, λƽ
Median test, λ
Minimal sufficient statistic, Сͳ
Minimum distance estimation, С
Minimum effectie dose, СЧ
Minimum lethal dose, С
Minimum ariance estimator, С
MINITAB, ͳ
Minor heading, ʱĿ
Missing data, ȱʧֵ
Model specification, ģ͵ȷ
Modeling Statistics , ģͳ
Models for outliers, Ⱥֵģ
Modifying the model, ģ͵
Modulus of continuity, ģ
Morbidity,
Most faorable configuration,
Multidimensional Scaling (ASCAL), ***߶/***
Multinomial Logistic Regression , ߼˹ٻع
Multiple comparison, رȽ
Multiple correlation ,
Multiple coariance, ԪЭ
Multiple linear regression, ԪԻع
Multiple response , ѡ
Multiple solutions,
Multiplication theorem, ˷
Multiresponse, ԪӦ
Multi-stage sampling, ׶γ
Multiariate T distribution, ԪTֲ
Mutual exclusie,
Mutual independence,
Natural boundary, Ȼ߽
Natural dead, Ȼ
Natural zero, Ȼ
Negatie correlation,
Negatie linear correlation,
Negatiely skewed, ƫ
Newman-Keuls method, q
NK method, q
No statistical significance, ͳ
Nominal ariable,
Nonconstancy of ariability, ķǶ
Nonlinear regression,
Nonparametric statistics, Dzͳ
Nonparametric test, Dz
Nonparametric tests, Dz
Normal deiate, ̬
Normal distribution, ֲ̬
Normal equation, 淽
Normal ranges, Χ
Normal alue, ֵ
Nuisance parameter, /
Null hypothesis, Ч
Numericalariable, ֵ
Objectie function, Ŀ꺯
Obseration unit, ۲쵥λ
Obsered alue, ۲ֵ
One sided test,
One-way analysis of ariance, ط
Oneway ANOA , ط
Open sequential trial,
Optrim, β
Optrim efficiency, βЧ
Order statistics, ˳ͳ
Orderedcategories,
Ordinal logistic regression , ߼˹ٻع
Ordinal ariable,
Orthogonal basis,
Orthogonal design,
Orthogonality conditions,
ORTHOPLAN,
Outlier cutoffs, Ⱥֵضϵ
Outliers, ֵ
OERALS , ķ
Oershoot,
Paired design,
Paired sample,
Pairwise slopes, ɶб
Parabola,
Parallel tests, ƽ
Parameter,
Parametric statistics, ͳ
Parametric test,
Partial correlation, ƫ
Partial regression, ƫع
Partial sorting, ƫ
Partials residuals, ƫв
Pattern, ģʽ
Pearson cures, Ƥѷ
Peeling, ˲
Percent bar graph, ٷͼ
Percentage, ٷֱ
Percentile, ٷλ
Percentile cures, ٷλ
Periodicity,
Permutation,
P-estimator, P
Pie graph, ͼ
Pitman estimator, Ƥ
Piot,
Planar, ƽ̹
Planar assumption, ƽļ
PLANCARDS, ļƻ
Point estimation,
Poisson distribution, ɷֲ
Polishing, ƽ
Polled standard deiation, ϲ׼
Polled ariance, ϲ
Polygon, ͼ
Polynomial, ʽ
Polynomial cure, ʽ
Population,
Population attributable risk, ȺΣն
Positie correlation,
Positiely skewed, ƫ
Posterior distribution, ֲ
Power of a test, Ч
Precision, ܶ
Predicted alue, Ԥֵ
Preliminary analysis, ԤԷ
Principal component analysis, ɷַ
Prior distribution, ֲ
Prior probability,
Probabilistic model, ģ
probability,
Probability density, ܶ
Product moment, ˻/Э
Profile trace, 漣ͼ
Proportion, /ɱ
Proportion allocation in stratified random sampling, ֲ
Proportionate, ɱ
Proportionate sub-class numbers, ɱμ麬
Prospectie study, ǰհԵ
Proximities, ׽
Pseudo F test, F
Pseudo model, ģ
Pseudosigma, α׼
Purposie sampling, Ŀij
QR decomposition, QRֽ
Quadratic approximation, ν
Qualitatie classification, Է
Qualitatie method, Է
Quantile-quantile plot, λ-λͼ/Q-Qͼ
Quantitatie analysis,
Quartile, ķλ
Quick Cluster, پ
Radix sort,
Random allocation,
Random blocks design,
Random eent, ¼
Randomization,
Range, /ȫ
Rank correlation, ȼ
Rank sum test, Ⱥͼ
Rank test, ȼ
Ranked data, ȼ
Rate,
Ratio,
Raw data, ԭʼ
Raw residual, ԭʼв
Rayleigh's test, ϼ
Rayleigh's Z, Zֵ
Reciprocal,
Reciprocal transformation, 任
Recording, ¼
Redescending estimators, ؽ
Reducing dimensions, ά
Re-expression, ±
Reference set, ׼
Region of acceptance,
Regression coefficient, عϵ
Regression sum of square, عƽ
Rejection point, ܾ
Relatie dispersion, ɢ
Relatie number,
Reliability, ɿ
Reparametrization, ò
Replication, ظ
Report Summaries, ժҪ
Residual sum of square, ʣƽ
Resistance, Ϳ
Resistant line, Ϳ
Resistant technique, Ϳ
R-estimator of location, λR
R-estimator of scale, ߶R
Retrospectie study, عԵ
Ridge trace, 뼣
Ridit analysis, Ridit
Rotation, ת
Rounding,
Row,
Row effects, ЧӦ
Row factor,
RXC table, RXC
Sample,
Sample regression coefficient, عϵ
Samplesize,
Sample standard deiation, ׼
Sampling error,
SAS(Statistical analysis system ), SASͳ
Scale, ߶/
Scatter diagram, ɢͼ
Schematic plot, ʾͼ/ͼ
Score test, Ʒּ
Screening, ɸ
SEASON, ڷ
Second deriatie, ׵
Second principal component, ڶɷ
SEM (Structural equation modeling), ṹģ
Semi-logarithmic graph, ͼ
Semi-logarithmic paper, ֽ
Sensitiity cure, ж
Sequential analysis,
Sequential data set, ˳ݼ
Sequential design,
Sequential method,
Sequential test, 鷨
Serial tests, ϵ
Short-cut method, ݷ
Sigmoid cure, S
Sign function, ź
Sign test, ż
Signed rank,
Significance test, Լ
Significant figure, Ч
Simple cluster sampling, Ⱥ
Simple correlation,
Simple random sampling,
Simple regression, 򵥻ع
simple table, 򵥱
Sine estimator, ҹ
Single-alued estimate, ֵ
Singular matrix,
Skewed distribution, ƫбֲ
Skewness, ƫ
Slash distribution, б߷ֲ
Slope, б
Smirno test, ˹׶ŵ
Source of ariation, Դ
Spearman rank correlation, ˹Ƥȼ
Specific factor,
Specific factor ariance, ӷ
Spectra , Ƶ
Spherical distribution, ֲ̬
Spread, չ
SPSS(Statistical package for the social science), SPSSͳ
Spurious correlation,
Square root transformation, ƽ任
Stabilizing ariance, ȶ
Standard deiation, ׼
Standard error, ׼
Standard error of difference, ı׼
Standard error of estimate, ׼
Standard error of rate, ʵı׼
Standard normal distribution, ׼ֲ̬
Standardization, ׼
Starting alue, ʼֵ
Statistic, ͳ
Statistical control, ͳƿ
Statistical graph, ͳͼ
Statistical inference, ͳƶ
Statistical table, ͳƱ
Steepest descent, ½
Stem and leaf display, Ҷͼ
Step factor,
Stepwise regression, 𲽻ع
Storage,
Strata, 㣨
Stratified sampling, ֲ
Stratified sampling, ֲ
Strength, ǿ
Stringency,
Structural relationship, ṹϵ
Studentized residual, ѧв/tв
Sub-class numbers, μ麬
Subdiiding, ָ
Sufficient statistic, ͳ
Sum of products,
Sum of squares, ƽ
Sum of squares about regression, عƽ
Sum of squares between groups, ƽ
Sum of squares of partial regression, ƫعƽ
Sure eent, Ȼ¼
Surey,
Surial,
Surial rate,
Suspended root gram, ͼ
Symmetry, Գ
Systematic error, ϵͳ
Systematic sampling, ϵͳ
Tags, ǩ
Tail area, β
Tail length, β
Tail weight, β
Tangent line,
Target distribution, Ŀֲ
Taylor series, ̩ռ
Tendencyofdispersion, ɢ
Testing of hypotheses,
Theoretical frequency, Ƶ
Time-to-eent analysis¼ʱ/ַʱ
Time series, ʱ
Tolerance interal,
Tolerance lower limit,
Tolerance upper limit,
Torsion,
Total sum of square, ƽ
Total ariation, ܱ
Transformation, ת
Treatment,
Trend,
Trend of percentage, ٷֱ
Trial,
Trial and error method, Դ
Tuning constant, ϸ
Two sided test, ˫
Two-stage least squares, Сƽ
Two-stage sampling, ׶γ
Two-tailed test, ˫
Two-way analysis of ariance, ˫ط
Two-way table, ˫
Type I error, һ/
Type II error, /´
UMU, һСƫƼ
Unbiased estimate, ƫ
Unconstrained nonlinear regression , ԼԻع
Unequal subclass number, ȴμ麬
Ungrouped data,
Uniform coordinate,
Uniform distribution, ȷֲ
Uniformly minimum ariance unbiased estimate, һСƫ
Unit, Ԫ
Unorderedcategories,
Upper limit,
Upward rank,
ague concept, ģ
alidity, Ч
ARCOMP (ariance component estimation), Ԫع
ariability,
ariable,
ariance,
ariation,
arimax orthogonal rotation, ת
olume of distribution, ݻ
W test, W
Weibull distribution, ֲ
Weight, Ȩ
Weighted Chi-square test, Ȩ/Cochran
Weighted linear regression method, Ȩֱ߻ع
Weighted mean, Ȩƽ
Weighted mean square, Ȩƽ
Weighted sum of square, Ȩƽ
Weighting coefficient, Ȩϵ
Weighting method, Ȩ
W-estimation, W
W-estimation of location, λW
Width,
Wilcoxon paired test, ˹Է/ԷȺͼ
Wild point, Ұ/
Wild alue, Ұֵ/ֵ
Winsorized mean, βֵ
Withdraw, ʧ
Youden's index, ȵָ
Z test, Z
Zero correlation,
Z-transformation, Z任
ȫ, Safety
, quasi- randomized control trialqRCT
, background questions
ֵ, odds ratioOR
׼, standardized mean difference, SMD
, case report
, case analysis
˼ֵ, patient alue ˴ɾ
Ԥ¼, patients expected eent rate, PEER
ҽѧ, complementary and alternatie medicine, CAM
¼, aderse eent
ȷ, uncertainty
Cochraneͼ, Cochrane Library, CL
Cochraneϵͳ, Cochrane systematic reiew, CSR
CochraneЭ, Cochrane Collaboration, CC
Coxģ, Cox proportional hazard model
οƫ, References test bias
ۺ, irritable bowel syndromeIRB
, measurement ariation
ɱ-Ч, cost-effectieness
ɱ-Ч, cost-effectieness analysis
ɱ-Ч, cost-benefit analysis
ɱ-Ч÷, cost-utility analysis
ɱССɱ,cost-minimization analysis
ظƫ, Multiple publication bias
ͳҽѧ , Traditional MedicineTM
DL, DerSimonian & Laird method
һӦƵIJ, the number needed to harm one more patients from the therapyNNH
ԿƷ, allopathic medicineAM
ij¼ķ, control eent rateCER
طƫ, multiple publication bias (ɾ˴)
о , secondary studies
о֤, secondary research eidence
ƫ, publication bias
ֹ1¼õ1ҪƵIJ, number needed to treatNNT
ͬڶ, non-randomized concurrent control trial
ֲ, stratified randomization
, categorical ariable
գΣնȣ, risk
, co-interention
ƫ, Workup bias
̶ЧӦģ, fixed effect model
ٴвѧ, International Clinical Epidemiology Network, INCLEN
ɫ, grey literature
Ч, reealuation
, benefit
, chance node
ƫ, Spectrum bias
, Technical properties
Ȩ, weighted mean difference, WMD
ʣʣ, false positie rate
ʣ©ʣ, false negatie rate
, simple randomization
, search strategy
оƣ, crossoer design
ѧ, economic analysis
ѧ, Economic attributes or impacts
ҽѧ, empirical medicine
ȷ, precision
߽, decision node
, decision tree analysis
Ի, absolute benefit increase, ABI
ΣնȽ, absolute risk reduction, ARR
Σն, absolute risk increase, ARI
ظ, repeatabilityreproducibility
ɿԣŶȣ, reliability
, confidence interal CI
, confidence limit CL
Logisticعģ, Logistic regression model
ʷԶо, historical control trial
ױ, likelihood of being helped s harmed, LHH
Ա, continuous ariable
ٴ, controlled clinical trial, CCT
ٴ, clinical outcome
ٴѧ, clinical economics
ٴ߷, clinical decision analysis
ٴвѧ, clinical epidemiology, CE
ٴʵָ, clinical practice guidelines, CPG
ٴ, clinical trial
ٴо֤, clinical research eidence
ٴ֤, clinical eidence
ٴֲ֤, handbook of clinical eidence
, Zero time
, flexibility
ٽ, Cut off points
©ͼ, funnel plots
ʲΣղ, rate differencerisk differenceRD
Meta-, Meta-analysis
ж, sensitiity
Է, sensitiity analysis
īֲ, Merck manual
в, Stroke Unit
ʵ, internal alidity
ƫ, bias
ʼ, inception cohort
ǰ-о, before-after study
ǰ, foreground questions
, block randomization
ɢͼ, scatter plots
ɭͼ, forest plots
˲е, disability adjusted life yearDALY
, surial cures
ʱ, surial time
, quality of life
֯, World Health Organization, WHO
ʧȫ, fail-Safe Number
ij¼, experimental eent rateEER
Ȼ, likelihood Ratio, LR
, applicability
߹ߣROCߣ, receier operator characteristic cure
ٴ, randomized clinical trials, RCT
, randomized control trial, RCT
, randomization concealment
ЧӦģ, random effect model
, specificity
ͬ, colleague ealuation
ͳЧܣնȣ, power
ͬԼ, tests for homogeneity
ʵ, external alidity
Ʒ, per protocolPP
ۺ, carpal tunnel syndrome, CTS
, health technology
, health technology assessment, HTA
ϵͳ, systematic reiew, SR
Ի, relatie benefit increase, RBI
Σն, relatie riskRR
ΣնȽ, relatie risk reduction, RRR
Σն, relatie risk increase, RRI
Ч, effectieness
Ч, efficacy
ЧӦ߶, effect magnitude
ЧӦ, effect size
, sequential trial
ѡƫ, selection bias
ѭ֤ѧ, eidence-based pediatrics
ѭ֤ѧ, eidence-based gynecology & obstetrics
ѭ֤, eidence-based purchasing
ѭ֤, eidence-based nursing
ѭ֤, eidence-based decision-making
ѭ֤ڿѧ, eidence-based internal medicine
ѭ֤ɸѡ, eidence-based selection
ѭ֤ѧ, eidence-based surgery
ѭ֤, eidence-based health care
ѭ֤, eidence-based diagnosis
ѭ֤ҽѧ, eidence-based medicine, EBM
, subgroup analysis
ϸ, critical appraisal
, post-test odds
, post-test probability
ǰ, pre-test odds
ǰ, pre-test probability
Ԥֵ, positie predictie alue
ԭʼо, primary studies
Լ, tests for heterogeneity
Ʒ, intention-to-treat, ITT
Ԥֵ, negatie predictie alue
ƫ, citation bias
ȵָ, Youdens index
ƫ, language bias
Ԥ, prognosis
Ԥ, prognostic factor
Ԥָ, prognostic index
ԭʼо֤, primary research eidence
ԭʼо֤Դ, primary resources
մȾ, contamination
ʵԣЧȣ, alidity
ϲձ׼, reference standard of diagnosis
ֵ, testing threshold
ϩֵ, test-treatment threshold
, quality adjusted life yearQALY
ֵ , Treatment threshold
׼ȷ, accuracy
, self-ealuation
֤, best eidence

from
http://stat.smmu.edu.cn/FIELD/statadict.htm

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