<--- Back to Details
First PageDocument Content
Statistics / Health / Design of experiments / Hypothesis testing / Medical statistics / Clinical research / Epidemiology / Evidence-based medicine / Cohort study / Null hypothesis / Randomized controlled trial / Number needed to treat
Date: 2016-03-30 06:17:35
Statistics
Health
Design of experiments
Hypothesis testing
Medical statistics
Clinical research
Epidemiology
Evidence-based medicine
Cohort study
Null hypothesis
Randomized controlled trial
Number needed to treat

Evidence Based Medicine Basic terms

Add to Reading List

Source URL: ubi.lf1.cuni.cz

Download Document from Source Website

File Size: 143,06 KB

Share Document on Facebook

Similar Documents

The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract

DocID: 1uUlT - View Document

Appendix 5 Computing the Power of Statistical Tests There are two types of errors that one can make when performing a statistical test. A false positive (a Type I error) occurs when the null hypothesis is rejected when

DocID: 1u93f - View Document

DISCUSSION NOTE Null-hypothesis significance testing of word frequencies: a follow-up on Kilgarriff* STEFAN TH. GRIES

DocID: 1tyPe - View Document

Psychological Bulletin I960. Vol. 57, No. S, THE FALLACY OF THE NULL-HYPOTHESIS SIGNIFICANCE TEST WILLIAM W. ROZEBOOM

DocID: 1sYOy - View Document

Results of Pharmacophore hypothesis generated using training set against LTA4H inhibitors HYPOTHESIS NUMBER TOTAL COST DIFFERENCE OF TOTAL COST AND NULL COST RMS DEVIATION FEATURES TEST SET CORRELATION 1 53.62 1

DocID: 1rycJ - View Document