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040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781040194256
_q(electronic bk.)
020 _a1040194257
_q(electronic bk.)
020 _a9781003221951
_q(electronic bk.)
020 _a1003221955
_q(electronic bk.)
020 _a9781040194355
_q(electronic bk. : EPUB)
020 _a1040194354
_q(electronic bk. : EPUB)
020 _z1032110805
020 _z9781032110806
024 7 _a10.1201/9781003221951
_2doi
035 _a(OCoLC)1464025376
035 _a(OCoLC-P)1464025376
050 4 _aR853.G76
072 7 _aMAT
_x029000
_2bisacsh
072 7 _aMED
_x071000
_2bisacsh
072 7 _aMED
_x090000
_2bisacsh
072 7 _aPBT
_2bicssc
100 1 _aJung, Sin-Ho.
_1https://id.oclc.org/worldcat/entity/E39PCjr79RbfmCxkxHt7xRhXQy
_993069
245 1 0 _aCLUSTER RANDOMIZATION TRIALS
_h[electronic resource] :
_bstatistical design and analysis.
260 _a[S.l.] :
_bCHAPMAN & HALL CRC,
_c2025.
300 _a1 online resource
490 1 _aChapman & Hall/CRC biostatistics series
520 _aOftentimes, small groups (called clusters) of individuals (called subunits) are randomized between treatment arms. Typically, clusters are families, classes, communities, surgeons operating patients, and so on. Such trials are called cluster randomization trials (CRTs). The subunits in each cluster share common frailties so that their outcomes tend to be positively correlated. Since clusters are independent, the data in two arms are independent in CRTs. In a clinical trial, multiple sites (such as teeth or ears) from each subject may be randomized between different treatment arms. In this case, the sites (subunits) of each subject (cluster) share common genetic, physiological, or environmental characteristics so that their observations tend to be positively correlated. This kind of trials are called subunit randomization trials (SRTs). In SRTs, dependency exists both within and between treatment arms. Individually randomized group treatment (IRGT) trials are composite of traditional independent subject randomization and CRTs. In an IRGT trial, the control arm is to treat patients individually, whereas the experimental arm is to treat patients using a group training, education, or treatment to increase the treatment effect by close interactions among patients. As a result, the outcome data of the control arm are independent as in traditional trials, but those in the experimental arm are correlated within each group (cluster) as in CRTs. Hence, two arms in IRGT trials have different dependency structures. Unlike standard CRTs, clusters of IRGT trials are usually organized after randomization. But statistically, they have identical statistical issues between the two types of trials, i.e., accounting for the dependency within each cluster. Although this book is entitled Cluster Randomization Trials, it covers all three types of trials (i.e., CRTs, SRTs, and IRGT trials) resulting in clustered data. For outcome variables of binary, continuous, and time-to-event types, we investigate generalized estimating equation type statistical tests and their sample size formulas. Also presented are random number generation algorithms for different types of outcome variables and randomization methods. The methods are discussed in terms of clinical trials, but can be used to design and analyze any types of experiments involving clustered data. This book also discusses statistical methods for various types of biomarker studies, including ROC methods, with clustered data. Key Features: Includes extensive statistical tests and their sample size formulas for various types of clinical trials resulting in clustered data. Handles different variable types of endpoints separately. Discusses algorithms to generate clustered binary and survival data that are useful for simulations. Covers statistical tests and sample size formulas for medical tests with clustered data.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aGroup-randomized trials.
_993070
650 0 _aClinical trials
_xStatistical methods.
_993071
650 7 _aMATHEMATICS / Probability & Statistics / General
_2bisacsh
_963965
650 7 _aMEDICAL / Pharmacology
_2bisacsh
_964250
650 7 _aMEDICAL / Biostatistics
_2bisacsh
_993072
830 0 _aChapman & Hall/CRC biostatistics series.
_964450
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003221951
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cE-Books
999 _c67458
_d67458