Study designs in dermatology: Practical applications of study designs and their statistics in dermatology

Jonathan I. Silverberg

doi:10.1016/j.jaad.2014.07.062

Study designs in dermatology: Practical applications of study designs and their statistics in dermatology

Jonathan I. Silverberg^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

6 Scopus citations

Abstract

A proper understanding of study designs and related statistical methodology is necessary for clinical dermatologists to critically read scientific literature and incorporate this information into clinical practice. This review focuses on how to identify the appropriate use of study designs and the statistical methodology used therein. Topics covered include population sampling and generalizability, power and sample size calculations, correction for multiple statistical testing, and how to identify the appropriate use of statistics. The impact of improved study designs in previously controversial topics in dermatology will be discussed.

Original language	English (US)
Pages (from-to)	733-740
Number of pages	8
Journal	Journal of the American Academy of Dermatology
Volume	73
Issue number	5
DOIs	https://doi.org/10.1016/j.jaad.2014.07.062
State	Published - Nov 2015

Keywords

bias
categorical
generalizability
interval-scaled
mean
median
nonparametric
ordinal
standard deviation
standard error of the mean
study design

ASJC Scopus subject areas

Dermatology

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10.1016/j.jaad.2014.07.062

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title = "Study designs in dermatology: Practical applications of study designs and their statistics in dermatology",

abstract = "A proper understanding of study designs and related statistical methodology is necessary for clinical dermatologists to critically read scientific literature and incorporate this information into clinical practice. This review focuses on how to identify the appropriate use of study designs and the statistical methodology used therein. Topics covered include population sampling and generalizability, power and sample size calculations, correction for multiple statistical testing, and how to identify the appropriate use of statistics. The impact of improved study designs in previously controversial topics in dermatology will be discussed.",

keywords = "bias, categorical, generalizability, interval-scaled, mean, median, nonparametric, ordinal, standard deviation, standard error of the mean, study design",

author = "Silverberg, {Jonathan I.}",

note = "Publisher Copyright: {\textcopyright} 2014 American Academy of Dermatology, Inc.",

year = "2015",

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AB - A proper understanding of study designs and related statistical methodology is necessary for clinical dermatologists to critically read scientific literature and incorporate this information into clinical practice. This review focuses on how to identify the appropriate use of study designs and the statistical methodology used therein. Topics covered include population sampling and generalizability, power and sample size calculations, correction for multiple statistical testing, and how to identify the appropriate use of statistics. The impact of improved study designs in previously controversial topics in dermatology will be discussed.

KW - bias

KW - categorical

KW - generalizability

KW - interval-scaled

KW - mean

KW - median

KW - nonparametric

KW - ordinal

KW - standard deviation

KW - standard error of the mean

KW - study design

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JO - Journal of the American Academy of Dermatology

JF - Journal of the American Academy of Dermatology

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ER -

Study designs in dermatology: Practical applications of study designs and their statistics in dermatology

Abstract

Keywords

ASJC Scopus subject areas

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