Log in

Relevant bibliographies by topics / Variable sample size methods / Books

To see the other types of publications on this topic, follow the link: Variable sample size methods.

Books on the topic 'Variable sample size methods'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 42 books for your research on the topic 'Variable sample size methods.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Zarnoch, Stanley J. Determining sample size for tree utilization surveys. U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 2004.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Handbook of sample size guidelines for clinical trials. CRC Press, 1989.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Brush, Gary G. How to choose the proper sample size. American Society for Quality Control, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Lwanga, S. Kaggwa. Sample size determination in health studies: A practical manual. World Health Organization, 1991.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Julious, Steven A. Sample sizes for clinical trials. Taylor & Francis, 2009.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Shuster, Jonathan J. Practical handbook of sample size guidelines for clinical trials. CRC Press, 1992.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Shuster, Jonathan J. Practical handbook of sample size guidelines for clinical trials. CRC Press, 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

1961-, Heo Moonseoung, Zhang Song 1976-, and Kim, Mimi (Mimi Y.), eds. Sample size calculations for clustered and longitudinal outcomes in clinical research. CRC Press, Taylor & Francis, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Kieser, Meinhard. Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49528-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Moura, Eduardo C. How to determine sample size and estimate failure rate in life testing. ASQC Quality Press, 1991.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Vinoth, Jagaroo, and Maxwell David L, eds. Handbook of statistical methods: Single subject design. Plural Pub., 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

National Center for Health Statistics (U.S.) and National Survey of Family Growth (U.S.), eds. The 2006-2010 National Survey of Family Growth: Sample design and analysis of a continuous survey. U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Waksberg, Joseph. Integration of sample design for the National Survey of Family Growth, Cycle IV with the National Health Interview Survey. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Sampling Techniques: Methods and Applications. Nova Science Publishers Inc, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Christine, Bachrach, National Survey of Family Growth (U.S.), and National Center for Health Statistics (U.S.), eds. National survey of family growth, cycle III: Sample design, weighting, and variance estimation : this report describes the procedures used to select the sample. U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

J, Potter Frank, ed. Sample design, sampling weights, imputation, and variance estimation in the 1995 National Survey of Family Growth. National Center for Health Statistics, Centers for Disease Control and Prevention, U.S. Dept. of Health and Human Services, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

National Survey of Family Growth, Cycle 6: Sample Design, Weighting, Imputation and Variance Estimation (Vital and Health Statistics). Dept. of Health and Human Services Centers fo, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

1955-, Chow Shein-Chung, Shao Jun, and Wang Hansheng 1977-, eds. Sample size calculations in clinical research. Marcel Dekker, 2003.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

David, Machin, ed. Sample size tables for clinical studies. 2nd ed. Blackwell Science, 1997.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

Machin, David, Michael J. Campbell, Say-Beng Tan, and Sze-Huey Tan. Sample Size Tables for Clinical Studies. Wiley & Sons, Limited, John, 2009.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

Machin, David, Michael J. Campbell, Say-Beng Tan, and Sze-Huey Tan. Sample Size Tables for Clinical Studies. Wiley & Sons, Incorporated, John, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

22

Machin, David, Michael J. Campbell, Say-Beng Tan, and Sze-Huey Tan. Sample Size Tables for Clinical Studies. Wiley & Sons, Incorporated, John, 2009.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

23

Machin, David, Michael J. Campbell, Say-Beng Tan, and Sze-Huey Tan. Sample Size Tables for Clinical Studies. Wiley & Sons, Incorporated, John, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

24

1955-, Chow Shein-Chung, Shao Jun, and Wang Hansheng 1977-, eds. Sample size calculations in clinical research. 2nd ed. Taylor & Francis, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

25

Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.

Full text

Abstract:

This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the ICC. The chapter determines the variance of a reliability estimate. It also calculates sample size estimates for reliability studies, and methods to combine reliability estimates in systematic reviews.

APA, Harvard, Vancouver, ISO, and other styles

26

Stanley, Lemeshow, and World Health Organization, eds. Adequacy of sample size in health studies. Published on behalf of the World Health Organization by Wiley, 1990.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

27

Laver, Michael, and Ernest Sergenti. Systematically Interrogating Agent-Based Models. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691139036.003.0004.

Full text

Abstract:

This chapter develops the methods for designing, executing, and analyzing large suites of computer simulations that generate stable and replicable results. It starts with a discussion of the different methods of experimental design, such as grid sweeping and Monte Carlo parameterization. Next, it demonstrates how to calculate mean estimates of output variables of interest. It does so by first discussing stochastic processes, Markov Chain representations, and model burn-in. It focuses on three stochastic process representations: nonergodic deterministic processes that converge on a single state; nondeterministic stochastic processes for which a time average provides a representative estimate of the output variables; and nondeterministic stochastic processes for which a time average does not provide a representative estimate of the output variables. The estimation strategy employed depends on which stochastic process the simulation follows. Lastly, the chapter presents a set of diagnostic checks used to establish an appropriate sample size for the estimation of the means.

APA, Harvard, Vancouver, ISO, and other styles

28

1939-, Machin David, ed. Sample size tables for clinical studies. 3rd ed. Wiley-Blackwell, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

29

Kieser, Meinhard. Methods and Applications of Sample Size Calculation and Recalculation in Clinical Trials. Springer, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

30

Determining Sample Size: Balancing Power, Precision, and Practicality (Pocket Guides to Social Work Research Methods). Oxford University Press, USA, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

31

Shao, Jun, Hansheng Wang, and Shein-Chung Chow. Sample Size Calculations in Clinical Research, Second Edition (Chapman & Hall/Crc Biostatistics Series). 2nd ed. Chapman & Hall/CRC, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

32

Robertson, Rob. Effects of collinearity, sample size, multiple correlation, and predictor-criterion correlation salience on the order of variable entry in stepwise regression. 1997.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

33

Estimating Samples Sizes in Clinical Trials. Chapman & Hall/CRC, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

34

Satake, Eike, Vinoth Jagaroo, and L. Ph D. Maxwell David. Handbook of Statistical Methods: Single Subject Design. Plural Publishing Inc, 2008.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

35

Brush, Gary G. How to Choose the Proper Sample Size (The ASQC Basic References in Quality Control: Statistical Techniques, Vol. 12)(T3512) (The Asqc Basic References ... Control : Statistical Techniques, Vol 12). ASQ Quality Press, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

36

Wiebe, Peter H., Ann Bucklin, and Mark Benfield. Sampling, Preservation and Counting of Samples II: Zooplankton. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199233267.003.0010.

Full text

Abstract:

This chapter reviews traditional and new zooplankton sampling techniques, sample preservation, and sample analysis, and provides the sources where in-depth discussion of these topics is addressed. The net systems that have been developed over the past 100+ years, many of which are still in use today, can be categorized into eight groups: non-opening/closing nets, simple opening/closing nets, high-speed samplers, neuston samplers, planktobenthos plankton nets, closing cod-end samplers, multiple net systems, and moored plankton collection systems. Methods of sample preservation include preservation for sample enumeration and taxonomic morphological analysis, and preservation of samples for genetic analysis. Methods of analysis of zooplankton samples include determination of biomass, taxonomic composition, and size by traditional methods; and genetic analysis of zooplankton samples.

APA, Harvard, Vancouver, ISO, and other styles

37

Cheng, Russell. Finite Mixture Examples; MAPIS Details. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0018.

Full text

Abstract:

Two detailed numerical examples are given in this chapter illustrating and comparing mainly the reversible jump Markov chain Monte Carlo (RJMCMC) and the maximum a posteriori/importance sampling (MAPIS) methods. The numerical examples are the well-known galaxy data set with sample size 82, and the Hidalgo stamp issues thickness data with sample size 485. A comparison is made of the estimates obtained by the RJMCMC and MAPIS methods for (i) the posterior k-distribution of the number of components, k, (ii) the predictive finite mixture distribution itself, and (iii) the posterior distributions of the component parameters and weights. The estimates obtained by MAPIS are shown to be more satisfactory and meaningful. Details are given of the practical implementation of MAPIS for five non-normal mixture models, namely: the extreme value, gamma, inverse Gaussian, lognormal, and Weibull. Mathematical details are also given of the acceptance-rejection importance sampling used in MAPIS.

APA, Harvard, Vancouver, ISO, and other styles

38

Peacock, Janet, and Philip Peacock. Oxford Handbook of Medical Statistics. Oxford University Press, 2010. http://dx.doi.org/10.1093/med/9780199551286.001.0001.

Full text

Abstract:

Written in an easily accessible style, the Oxford Handbook of Medical Statistics provides doctors and medical students with a concise and thorough account of this often difficult subject. It promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t- and chi-squared tests, to complex multifactorial analyses, using examples from published research.

APA, Harvard, Vancouver, ISO, and other styles

39

Weiss, Helen. Design issues in global mental health trials in low-resource settings. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199680467.003.0004.

Full text

Abstract:

In this chapter we outline the key principles in design and analysis of trials for mental health. The chapter focuses on randomized controlled trials as these are the gold-standard trial design, which minimizes confounding due to other factors and enables us to draw conclusions about the effectiveness of the intervention. Other key principles of trial design discussed in the chapter include methods to develop a clearly stated, testable research hypothesis, definition of well-defined outcomes, appropriate choice of the control condition, masking of providers and participants where possible, realistic sample size estimates, and appropriate data monitoring and statistical analysis plans. The chapter also outlines alternatives to the parallel arm superiority trial design, such as equivalence and non-inferiority trials, cross-over, stepped wedge, fixed adaptive, and patient preference trial designs.

APA, Harvard, Vancouver, ISO, and other styles

40

Martínez-Pérez, M. J., R. Kleiner, and D. Koelle. NanoSQUIDs Applied to the Investigation of Small Magnetic Systems. Edited by A. V. Narlikar. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198738169.013.19.

Full text

Abstract:

This article discusses the use of nanoSQUIDs for investigating small magnetic systems. It begins with an overview of the basics of superconducting quantum interference devices, focusing on how a dc SQUID operates and the use of resistively and capacitively shunted junction model to describe the phase dynamics of Josephson junctions (JJs). It then considers the motivation for using nanoSQUIDs, along with the importance of their size and geometry. It also evaluates micro- and nanoSQUIDs made of various types of JJs including nanoSQUIDs based on sandwich-like junctions, constriction-like junctions, and proximized structures. After reviewing different nanoSQUID readout methods that can be used to directly sense the stray magnetic field created by a nanoscale magnetic sample, the article concludes by highlighting some of the practical constraints and challenges encountered in using nanoSQUID technology, including particle positioning with respect to the sensor’s surface.

APA, Harvard, Vancouver, ISO, and other styles

41

Peacock, Janet L., Sally M. Kerry, and Raymond R. Balise. Presenting Medical Statistics from Proposal to Publication. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779100.001.0001.

Full text

Abstract:

Presenting Medical Statistics from Proposal to Publication (second edition) aims to show readers how to conduct a wide range of statistical analyses from sample size calculations through to multifactorial regressions that are needed in the research process. The second edition of ‘Presenting’ has been revised and updated and now includes Stata, SAS, SPSS, and R. The book shows how to interpret each computer output and illustrates how to present the results and accompanying text in a format suitable for a peer-reviewed journal article or research report. All analyses are illustrated using real data and all programming code, outputs, and datasets used in the book are available on a website for readers to freely download and use. ‘Presenting’ includes practical information and helpful tips for software, all statistical methods used, and the research process. It is written by three experienced biostatisticians, Janet Peacock, Sally Kerry, and Ray Balise from the UK and the USA, and is born out of their extensive experience conducting collaborative medical research, teaching medical students, physicians, and other health professionals, and providing researchers with advice.

APA, Harvard, Vancouver, ISO, and other styles

42

Peacock, Janet L., and Phil J. Peacock. Oxford Handbook of Medical Statistics. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198743583.001.0001.

Full text

Abstract:

A good understanding of medical statistics is essential to evaluate medical research and to choose appropriate ways of implementing findings in clinical practice. The Oxford Handbook of Medical Statistics, second edition, has been written to provide doctors and medical students with a comprehensive yet concise account of this often difficult subject. Described by readers as a ‘statistical Bible’, this new edition maintains the accessibility and thoroughness of the original, and includes comprehensive updates including new sections on transitional medicine, cluster designs, and modern statistical packages. The handbook promotes understanding and interpretation of statistical methods across a wide range of topics, from study design and sample size considerations, through t and chi-squared tests, to complex multifactorial analyses, all using examples from published research. References and further reading are included, to allow deeper understanding on specific topics. Featuring a new chapter on how to use this book in different medical contexts, the Oxford Handbook of Medical Statistics helps readers to conduct their own research and critically appraise others' work.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!