Citations with the tag: SAMPLE size (Statistics)
Results 1 - 50
- RE: â€œETHICS AND SAMPLE SIZEâ€.
// American Journal of Epidemiology; Dec2005, Vol. 162 Issue 12, p1237
A correction to the article "Ethics and Sample Size," published in a previous issue, is presented.
- RE: â€œPOWER AND SAMPLE SIZE CALCULATIONS FOR CASE-CONTROL STUDIES OF GENE-ENVIRONMENT INTERACTIONS WITH A POLYTOMOUS EXPOSURE VARIABLEâ€.
// American Journal of Epidemiology; 1998, Vol. 147 Issue 4, p414
A correction to the article "Power and Sample Size Calculations for Case-Control Studies of Gene-Environment Interactions With a Polytomous Exposure Variable," that was published in the previous issue of the journal is presented.
- Sample size requirements for case-control study designs: correction.
Edwardes, Michael deBurgh // BMC Medical Research Methodology; 2002, Vol. 2, p16
A correction to the article "Sample Size Requirements for Case-Control Study Designs" that was previously published in the December 2001 issue.
Barranco-Chamorro, I.; Kibria, B.; Saleh, A. // Statistical Papers; Feb2013, Vol. 54 Issue 1, p251
A correction to the article "Preliminary test estimation of the parameters of exponential and Pareto distributions for censored sample" that was published in 2012 is presented.
- Erratum: Power and sample size.
Krzywinski, Martin; Altman, Naomi // Nature Methods; Feb2014, Vol. 11 Issue 2, p210
A correction to the article "Power and sample size" that was published in the November 26, 2013 issue is presented.
- A test is not a test.
Hoppe, Christian // Nature Reviews Neuroscience; Dec2013, Vol. 14 Issue 12, p877
A letter to the editor is presented in response to the article "Power failure: why small sample size undermines the reliability of neuroscience" in the 2013 issue, which discusses insufficient statistical power to the the reliability of findings in neuroscience.
- Empirical evidence for low reproducibility indicates low pre-study odds.
Button, Katherine S.; Ioannidis, John P. A.; Mokrysz, Claire; Nosek, Brian A.; Flint, Jonathan; Robinson, Emma S. J.; Munafò, Marcus R. // Nature Reviews Neuroscience; Dec2013, Vol. 14 Issue 12, p877
A letter to the editor is presented in response to the article "Power failure: why small sample size undermines the reliability of neuroscience" in the 2013 issue, which discusses the importance of ultimately statistical power for the range of pre-study odds of an effect.
- Sample size: how many participants are needed in a trial?
Sedgwick, Philip // BMJ: British Medical Journal; 2/23/2013, Vol. 346 Issue 7896, p38
The article provides an answer to a question of true or false statements with regards to the number of participants that are needed in a randomized controlled superiority trial.
- sample size.
Sedgwick, Philip // ICSC Dictionary of Shopping Center Terms; 2005, p136
A definition of the research term "sample size" is presented.
- Observer. Should I Trust These Research Results?...
Sedgwick, Philip // Journal of Financial Planning; Jun2012, Vol. 25 Issue 6, p10
The article focuses on the use of sample sizes in market research, mentioning that a proportionately larger sample size is needed for smaller groups to provide statistically valid samples, and comments that the provided margin of error should be used for samples noted as having a small base size.
- REVIEWER A.
Peró, Maribel // PsicolÃ³gica; 2013, Vol. 34 Issue 1, following p123
A review of the article related to pilot sample variance for sample size determination in the detection of difference between two means by Maribel PerÃ³, which appeared in the periodical "Psicológica" on January 1, 2013, is presented.
- REVIEWER B.
Peró, Maribel // PsicolÃ³gica; 2013, Vol. 34 Issue 1, Special section p123
A review of the article related to literature concerning determination of sample size needed for detection of difference between two means, which appeared in the periodical "Psicológica" on January 1, 2013, is presented.
- Power failure: why small sample size undermines the reliability of neuroscience.
Button, Katherine S.; Ioannidis, John P. A.; Mokrysz, Claire; Nosek, Brian A.; Flint, Jonathan; Robinson, Emma S. J.; Munafó, Marcus R. // Nature Reviews Neuroscience; Jun2013, Vol. 14 Issue 6, p442
A correction to the article "Power failure: why small sample size undermines the reliability of neuroscience" is presented.
- 'Reading First' Story Shows Limits of Using Isolated Data.
Krashen, Stephen // Education Week; 1/30/2008, Vol. 27 Issue 21, p27
A letter to the editor is presented in response to the article "Massive Funding Cuts to 'Reading First' Generate Worries for Struggling Schools," in the January 16, 2008 issue.
- An alternative route to performance hypothesis testing.
Scherer, Bernd // Journal of Asset Management; Jun2004, Vol. 5 Issue 1, p5
A wide variety of risk-return ratios are routinely reported in sales pitches as well as academic publications. Little attempt has been made, however, to look at the small sample distributions of these estimators in order to derive confidence bands. The reason for this has been the extreme...
- Sample size calculation for clinical trials: the impact of clinician beliefs.
Fayers, P M; Cuschieri, A; Fielding, J; Craven, J; Uscinska, B; Freedman, L S // British Journal of Cancer; 1/1/2000, Vol. 82 Issue 1, p213
The UK Medical Research Council (MRC) randomized trial of gastric surgery, ST01, compared conventional (D1) with radical (D2) surgery. Sample size estimation was based upon the consensus opinion of the surgical members of the design team, which suggested that a change in 5-year survival from 20%...
- Comments and Discussion.
Fayers, P M; Cuschieri, A; Fielding, J; Craven, J; Uscinska, B; Freedman, L S // Brookings Trade Forum; 2007, p128
The article presents comments on the paper "Wage Dynamics and Economic Development," by Andrew Warner, published in this issue. Harry J. Holzer pointed out that the wage data used by Warner is questionable in terms of sample size. Nina Pavcnik remarked that the wage data presented by Warner...
- Here are 9 rules for minimizing non-sampling errors in surveys.
Fayers, P M; Cuschieri, A; Fielding, J; Craven, J; Uscinska, B; Freedman, L S // Marketing News; 1/17/1975, Vol. 8 Issue 13, p8
Presents information on several rules to minimize non-sampling errors in surveys. Use of a small sample; Concentration of questionnaire on data that are essential to the issue; Establishment of procedures for the respondent and interviewer.
- Bayesian analysis of abundance for binomial sighting data with unknown number of marked individuals.
McClintock, Brett T.; Hoeting, Jennifer A. // Environmental & Ecological Statistics;
The mark-resight method for estimating the size of a closed population can in many circumstances be a less expensive and less invasive alternative to traditional mark-recapture. Despite its potential advantages, one major drawback of traditional mark-resight methodology is that the number of...
- A MONTE-CARLO ESTIMATION OF EFFECT SIZE DISTORTION DUE TO SIGNIFICANCE TESTING.
Bradley, M.T.; Smith, D.; Stoica, G. // Perceptual & Motor Skills; Dec2002, Vol. 95 Issue 3, p837
A Monte-Carlo study was done with true effect sizes in deviation units ranging from 0 to 2 and a variety of sample sizes. The purpose was to assess the amount of bias created by considering only effect sizes that passed a statistical cut-off criterion of Î± = .05. The deviation values obtained...
- Power and Sample Sizes for Linkage with Extreme Sampling Under an Oligogenic Model for Quantitative Traits.
Moonseong Heo; Faith, Myles S.; Allison, David B. // Behavior Genetics; Jan2002, Vol. 32 Issue 1, p23
Extreme sampling of sibling pairs has been shown to be efficient in terms of statistical power and sample sizes (in number of sibling pairs needed to genotype) to detect a quantitative trait locus (QTL) when the residual distribution is normal. In the present study, the efficiency of extreme...
- Sample size computation for association studies using case-parents design.
Kharrat, Najla; Ayadi, Imen; Rebaï, Ahmed // Journal of Genetics; Dec2006, Vol. 85 Issue 3, p187
The article presents a computation on a sample size in identifying genes involved in complex human disease using the triads of case-parent. The sample size N is a function of the frequency of allele (A) in the general population or denoted as p and two genotypic risk ratio (GRR), denoted as y....
- Attributions for Poverty: A Survey of Student's Perception.
Samuel, Yeboah Asuamah; Ernest, Kumi // International Review of Management & Marketing (IRMM); Apr2012, Vol. 2 Issue 2, p83
In this paper, attribution for poverty have been investigated using 147 marketing students of Sunyani polytechnic who were selected through the use of convenient sample method. The paper is based on exploratory quantitative survey. With the use of self design questionnaire primary data were...
Samuel, Yeboah Asuamah; Ernest, Kumi // Retail Trade; Jul2010, Vol. 82 Issue 7, p69
The article focuses on the sampling method applied for the Monthly Retail Trade Survey (MRTS). It states that MRTS is a survey repeatedly conducted through sample overlap maximisation. It also adds that samples for the survey are allocated to achieve target coefficients of variation depending on...
- Impact of plot size on individual-tree competition measures for growth and yield simulators.
Hynynen, Jari; Ojansuu, Risto // Canadian Journal of Forest Research; Mar2003, Vol. 33 Issue 3, p455
Presents a study that addressed the effect of sample plot size of Norway spruce on the bias related to measure stand density. Categories of the primary use of growth models; Details on competition in growth models; Materials and methods; Impact of the differences between the model variants in...
- Sample size calculation.
Kumar, Rajeev // Indian Journal of Ophthalmology; Nov2012, Vol. 60 Issue 6, p582
A letter to the editor is presented in response to the article "Understanding the relevance of sample size calculation" by B. K. Nayak in a 2010 issue.
Kumar, Rajeev // Clinical Trials; Oct2014, Vol. 11 Issue 5, p609
â€˜Sample size requirements to detect a two- or three-way interaction in longitudinal cluster randomized clinical trials with second-level randomizationâ€™ by Moonseong Heo, Xiaonan Xue and Mimi Y Kim published in Clinical Trials 2014; 11: 503â€“507. DOI:...
- P65â€…A new index to assess the impact of collinearity in epidemiological research.
Woolston, A; Tu, Y-K; Baxter, P D; Gilthorpe, M S // Journal of Epidemiology & Community Health; Sep2010 Supp, Vol. 64, pA59
Background The problem of collinearity due to high correlations between explanatory variables in multiple regression is often overlooked in epidemiological research. The assumption that covariates are independent implies that all pair-wise covariate associations should be negligibleâ€”an...
- Sample Size Policy for Qualitative Studies Using In-Depth Interviews.
Dworkin, Shari // Archives of Sexual Behavior; Dec2012, Vol. 41 Issue 6, p1319
The author reflects on the amount of sample size used in qualitative research methods. She states that sample size is often smaller in qualitative research methods that in quantitative research methods. She also related that some scholars believe that saturation is the key factor in mulling...
- Effect of sample size on magnetic Jc for MgB2 superconductor.
Horvat, J.; Soltanian, S.; Wang, X. L.; Dou, S. X. // Applied Physics Letters; 4/19/2004, Vol. 84 Issue 16, p3109
A strong effect of sample size on magnetic Jc(H) was observed for bulk MgB2 when Jc is obtained directly from the critical state model. Thus obtained zero-field Jc (Jc0) decreases strongly with the sample size, attaining a constant value for the samples larger than a few millimeters. On the...
- An unorthodox approach.
Muller, Sara; Hider, Samantha L.; Helliwell, Toby; Mallen, Christian D. // BMJ: British Medical Journal; 10/6/2012, Vol. 345 Issue 7877, p27
A letter is presented in response to the article "Sample size calculations: should the emperorâ€™s clothes be off the peg or made to measure?" by G. Norman and colleagues in the August 23, 2012 issue.
- Not fit for purpose.
Pharoah, Paul D.p. // BMJ: British Medical Journal; 10/6/2012, Vol. 345 Issue 7877, p28
A letter is presented in response to the article "Sample size calculations: should the emperorâ€™s clothes be off the peg or made to measure?" by G. Norman and colleagues in the August 23, 2012 issue.
- Factors Affecting Hatch Success of Hawksbill Sea Turtles on Long Island, Antigua, West Indies.
Ditmer, Mark Allan; Stapleton, Seth Patrick // PLoS ONE; Jul2012, Vol. 7 Issue 7, p1
Current understanding of the factors influencing hawksbill sea turtle (Eretmochelys imbricata) hatch success is disparate and based on relatively short-term studies or limited sample sizes. Because global populations of hawksbills are heavily depleted, evaluating the parameters that impact hatch...
- Limitation Section.
Connelly, Lynne M. // MEDSURG Nursing; Sep/Oct2013, Vol. 22 Issue 5, p325
The article discusses the writing of the limitation section in research studies. It says that there are some common limitations, including sample size and selection, and lack of available data, and methodology used during the data collection. It states that to ensure a more controlled data...
- Limit Theorems for Extremes With Random Sample Size.
Silvestrov, Dmitrii S.; Teugels, Jozef L. // Advances in Applied Probability; Sep98, Vol. 30 Issue 3, p777
Details a study which investigated the limit theorems for extremes with random sample size under general dependence-independence conditions for samples and random sample size indexes. General limit theorem for extremal processes with random sample size indexes; Overview of limit theorems for...
- Reliability, Validity, and Cut Scores of the South Oaks Gambling Screen (SOGS) for Chinese.
Catherine Sokum Tang; Wu, Anise M. S.; Tang, Joe Y. C.; Yan, Elsie C. W. // Journal of Gambling Studies; Mar2010, Vol. 26 Issue 1, p145
We examined the reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS) when adopted for use in Chinese. The DSM-IV criteria for pathological gambling served as the standard against which the classification accuracy of the SOGS was tested. A total of 283...
- FAMIC Study Includes Powerful Data, but Could it Have Been Better?
Parmalee, Thomas A. // Funeral Service Insider Newsletter; 10/4/2010, p1
The article discusses the issue concerning the cost, value, and methodology employed by Wirthlin Report in its research about funeral services in the U.S. in 2010. It notes that the study has utilized a study sample which includes 507 members of the general population who are over 40 years old...
- Crop Development Sampling for Wine Grapes.
Fiola, Joseph // Plant & Pest Advisory: Fruit; 9/15/2009, Vol. 14 Issue 24, p4
The article offers tips on how to assess ripeness and quality of grapes to produce the best quality grapes and wine in the U.S. It states that collecting a random sample of grapes is the best way to monitor and assess the fruit characteristics. Moreover, one must remember that 90% of the...
- Adjusting batch effects in microarray expression data using empirical Bayes methods.
Cheng Li // Biostatistics; Jan2007, Vol. 8 Issue 1, p118
Non-biological experimental variation or ï¿½batch effects" are commonly observed across multiple batches of microarray experiments, often rendering the task of combining data from these batches difficult. The ability to combine microarray data sets is advantageous to researchers to increase...
- Clinical forecasting in drug development.
Schachter, Asher D.; Ramoni, Marco F. // Nature Reviews Drug Discovery; Feb2007, Vol. 6 Issue 2, p107
The article discusses clinical forecasting in drug development. The cost of developing a drug remains the subject of ongoing debate, with some estimates now exceeding U.S.$802 million. Pharmacokinetic/pharmacodynamic and trial simulation models help investigators enhance later-phase trial...
- Acupuncture for Fatigue during Radiation Therapy: Points Made.
Deng, Gary // Journal of the Society for Integrative Oncology; Winter2009, Vol. 7 Issue 1, p1
The author comments on the results of a study on the use of acupuncture to treat fatigue caused by radiation therapy in cancer patients by Judith Balk et al in this same issue. He stresses that the study failed to show the mechanics on how acupuncture reduces fatigue. He adds that the...
- Heterogeneidade espacial e temporal da qualidade da Ã gua no reservatÃ³rio Rio das Pedras (Complexo Billings, SÃ£o Paulo).
Padial, Paula Regina; Pompêo, Marcelo; Moschini-Carlos, Viviane // Revista Ambiente e Ãgua; 2009, Vol. 4 Issue 3, p35
The objective of the present study was to evaluate spatial and temporal patterns of limnological characteristics of the Rio das Pedras Reservoir (Billings Complex, SÃ£o Bernardo do Campo, SÃ£o Paulo - Brazil). Profile samples were taken at three stations during two periods (March and...
Padial, Paula Regina; Pompêo, Marcelo; Moschini-Carlos, Viviane // Health Reports; May2005, Vol. 16 Issue 3, p33
Provides information on the National Population Health Survey where data for smoking prevalence rates in Canada were based, as of May 2005. Association of smoking-specific support with quitting and relapsing; Creation of two-year records for the smoking cessation and relapsing analysis;...
- Prevalence and determinants of childhood overweight and obesity in European countries: pooled analysis of the existing surveys within the IDEFICS Consortium.
Pigeot, I.; Barba, G.; Chadjigeorgiou, C.; de Henauw, S.; Kourides, Y.; Lissner, L.; Marild, S.; Pohlabeln, H.; Russo, P.; Tornaritis, M.; Veidebaum, T.; Wawro, N.; Siani, A. // International Journal of Obesity; Oct2009, Vol. 33 Issue 10, p1103
Objective:To pool and analyse, according to standardized criteria and using harmonized variables, the existing databases of surveys on childhood overweight and obesity carried out from 1995 to 2005 in different European countries by research groups participating in the IDEFICS...
- Background Material.
Pigeot, I.; Barba, G.; Chadjigeorgiou, C.; de Henauw, S.; Kourides, Y.; Lissner, L.; Marild, S.; Pohlabeln, H.; Russo, P.; Tornaritis, M.; Veidebaum, T.; Wawro, N.; Siani, A. // Foundations & Trends in Econometrics; 2008, Vol. 3 Issue 1, p77
The author determines the "order of magnitude" of a "sequence," and the "magnitude," which is defined by considering the behavior of the sequence as the sample size n increases. He elaborates their usage of the "big O" and the "small o" for the positive integer n. The order of probability is...
- Mediation Role of Employee Engagement in Creative Work Process on the Relationship of Transformational Leadership and Employee Creativity.
Haq, Inam Ul; Ali, Ahmad; Azeem, Muhammad Umer; Hijazi, Syed Tahir; Qurashi, Tahir Masood; Quyyum, Abdul // European Journal of Economics, Finance & Administrative Sciences; Oct2010, Issue 25, p94
This paper tapped the relationship of transformational leadership with employee creativity. Further investigation were undertaken to explore the mediating role of employee intention to engage himself into creative work process on the relationship of transformational leadership and employee...
- SAMPLING IN AUDIT AND PROFFESIONAL REASONING.
BURTESCU, CLAUDIA; GRIGORE, GHE. // Agricultural Management / Lucrari Stiintifice Seria I, Managemen; Jul2011, Vol. 13 Issue 3, p165
The auditor's objective, when using sampling in audit, is to supply a reasonable base for the auditor, to submit conclusions regarding the population from which the sample is selected. The auditor uses the professional reasoning regarding the use of stratification and selection techniques...
- Metric Sexual Dimorphism in Permanent Canines.
Morgan, Johanna // Bulletin of the International Association for Paleodontology; Jun2011, Vol. 5 Issue 1, p4
The degree of sexual dimorphism of permanent human canines in cervical buccolingual and mesiodistal diameters was investigated through discriminant analyses. Measurements were recorded in 254 canines from 85 individuals in four populations and sex was estimated with multifactorial morphological...
- Estimation of the mean in line intercept sampling.
Pontius, Jeffrey // Environmental & Ecological Statistics; Dec1998, Vol. 5 Issue 4, p371
Ratio estimation of the parametric mean for a characteristic measured on plants sampled by a line intercept method is presented and evaluated via simulation using different plant dispersion patterns (Poisson, regular cluster, and Poisson cluster), plant width variances, and numbers of lines. The...
- Was the study big enough? Two "cafe" rules.
Glasziou, Paul; Doll, Helen // ACP Journal Club; Nov/Dec2007, Vol. 147 Issue 3, pA8
The authors' offer their opinion on the magnitude of clinical studies. They opine that small studies do not provide a statistically significant effect. They state that smaller studies are more susceptible to random errors, as compared to longer studies and have tighter CIs. They also discuss the...