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Statistical Methods for Rates and Proportions

R. L. Plackett, +1 more
- 01 Aug 1975 - 
- Vol. 43, Iss: 2, pp 244
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This article is published in International Statistical Review.The article was published on 1975-08-01. It has received 10442 citations till now.

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G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.
Journal ArticleDOI

Systematic review and meta-analysis

TL;DR: In this review the usual methods applied in systematic reviews and meta-analyses are outlined, and the most common procedures for combining studies with binary outcomes are described, illustrating how they can be done using Stata commands.
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PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Journal ArticleDOI

Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence

TL;DR: It is shown that LGBs have a higher prevalence of mental disorders than heterosexuals and a conceptual framework is offered for understanding this excess in prevalence of disorder in terms of minority stress--explaining that stigma, prejudice, and discrimination create a hostile and stressful social environment that causes mental health problems.
Journal ArticleDOI

A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study

J R Le Gall, +2 more
- 22 Dec 1993 - 
TL;DR: The SAPS II, based on a large international sample of patients, provides an estimate of the risk of death without having to specify a primary diagnosis, and is a starting point for future evaluation of the efficiency of intensive care units.
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