Multiple correlation: exact power and sample size calculations.
about
Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advanceMultivariate test power approximations for balanced linear mixed models in studies with missing dataA Comparison of Anthropometric and Training Characteristics between Female and Male Half-Marathoners and the Relationship to Race Time.Automated assessment of upper extremity movement impairment due to stroke."Expectant Parents": Study protocol of a longitudinal study concerning prenatal (risk) factors and postnatal infant development, parenting, and parent-infant relationshipsAdjusting power for a baseline covariate in linear models.Evaluation of reliability and validity of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30, Albanian version) among breast cancer patients from KosovoThe effects of an 8-week multicomponent inpatient treatment program on body composition and anaerobic fitness in overweight and obese children and adolescents.Latino immigrants' intentions to seek depression carePredictor variables for a half marathon race time in recreational male runners.Personal best times in an Olympic distance triathlon and in a marathon predict Ironman race time in recreational male triathletes.Comparison of anthropometric and training characteristics between recreational male marathoners and 24-hour ultramarathonersCan't do it, won't do it! Developing a theoretically framed intervention to encourage better decontamination practice in Scottish dental practices.Storage of household firearms: an examination of the attitudes and beliefs of married women with children.Power Calculations for General Linear Multivariate Models Including Repeated Measures ApplicationsReproducibility and relative validity of food group intake in a food frequency questionnaire developed for Nepalese diet.Analyzing average and conditional effects with multigroup multilevel structural equation models.Comparison between recreational male Ironman triathletes and marathon runners.Age, training, and previous experience predict race performance in long-distance inline skaters, not anthropometry.Sample size determination for confidence intervals of interaction effects in moderated multiple regression with continuous predictor and moderator variables.Exact Analysis of Squared Cross-Validity Coefficient in Predictive Regression Models.An approach for quantifying small effects in regression models.GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate.Selecting a sample size for studies with repeated measuresMethods for the behavioral, educational, and social sciences: an R package.Similarities and differences in anthropometry and training between recreational male 100-km ultra-marathoners and marathoners.Confidence intervals and sample size calculations for the standardized mean difference effect size between two normal populations under heteroscedasticity.Sample size determination for a t test given a t value from a previous study: A FORTRAN 77 program.Sample Size Planning for the Squared Multiple Correlation Coefficient: Accuracy in Parameter Estimation via Narrow Confidence Intervals.Preliminary Study of Testosterone and Empathy in Determining Recidivism and Antisocial Behavior.The Impact of Living Arrangements on Dementia Caregivers' Sleep Quality.Factors associated with nurses' perceptions of patient safety culture in China: a cross-sectional survey study.Predictor variables for a 100-km race time in male ultra-marathoners.Implication of alcohol consumption on aggregate wellbeing.Development, feasibility, and validity of a computer-based utility assessment tool for measuring asthma-specific health utilities in Malaysia using the standard gamble method.Predictor variables of performance in recreational male long-distance inline skaters.Computing aspects of power for multiple regression.Methodological and computational considerations for multiple correlation analysis.Improved Shrinkage Estimation of Squared Multiple Correlation Coefficient and Squared Cross-Validity CoefficientA Generalized Solution for Approximating the Power to Detect Effects of Categorical Moderator Variables Using Multiple Regression
P2860
Q30852795-35D768EF-848C-404E-B054-E17E0629F1D8Q31027955-06149022-1BA1-4977-AFF3-3DC6AD2135D1Q33562353-39EB0DF1-86E3-4BBC-A0A7-245914DF3DFDQ34011305-382DA25B-01F1-4308-80AD-0288127C5743Q34300115-33107A55-55E1-47D5-B248-D6F85D8EFF89Q35191738-41F68488-DA9D-4F33-B3F5-C51BE24E40B7Q35212811-78B6AE7D-A820-47B0-80A5-FA9639EC8489Q36702042-F6821028-9BCE-4010-93D9-29E62091CB93Q36838965-2553C7EE-B09F-42E1-B794-16EA39DF1F24Q37194471-823D76EC-C0F4-4E18-9EDC-56EC2564F797Q37194477-A6AC2C74-6287-4095-BF31-1B605DA6C9A0Q37194544-94DC1AB2-04BA-4F3B-B1F1-2F50D47D8FA8Q37241530-D432F16B-7397-4F3E-A47A-7801B25E468AQ37323281-38A9CBF4-B448-48EA-9247-3573FC1BDC0FQ37727538-FF9EE8DC-AA17-47AE-95F0-D7944AF5B9AAQ39017954-1ACA3B1A-1DF5-4C82-81D7-620E0125B7EBQ39104843-8D35710F-7D9B-41EC-A022-609DCFE01A50Q39542596-9871E1B0-E7A2-4AE4-A17A-BEB060D2B240Q39617945-4E0C8E69-6242-4CDA-AACC-7D0C08BC1A34Q39842441-18E3DE9C-0B90-4B72-9697-B6C77B21F54AQ40013678-4293DF9B-D166-4CB8-B7B3-4FFCA00D3B75Q40701013-2BD08497-811D-4E39-844F-4085C755A2D9Q41853446-26AEC02A-1761-405D-B5FF-AFFAB6E87380Q42538367-4A5F9F6C-5DFB-42F4-9B35-505FAE1A36E0Q42641859-589BCB83-94A0-4655-A978-9A163E27D398Q43540086-40B0D671-B16C-4E1E-9AA9-B7E41664E670Q46750437-16A3D04F-12F3-46E2-AA97-A7AD1091AD4CQ47194239-68442A1B-07E5-4905-854E-E1DDF3DCD52CQ47213969-71F3DF92-1B75-4307-9A08-C3A18FD1F329Q47968028-F9C98388-FDA9-457D-81F6-4BD0CDF4866DQ48014646-DEAD4C5D-0A98-4C1D-B7FB-EC3B9F5D8D4DQ48032781-C2FDE74B-E65F-4B9E-B782-3E420C003E44Q48153722-4D6F7E2B-6265-42EF-A7F4-C51566443761Q50135137-BEC6136F-3BBE-45DB-9D4F-9710C0E6F1B3Q50220586-5001B36E-CC92-42F0-BBFF-38AEBBC37B0EQ51568673-7D62000A-91F5-42DB-801A-845538E70F5CQ51634675-4FC316B6-1B38-4698-9EAB-66CC3E3183B0Q51897126-EEEFB658-51DC-4AA0-957A-D3D7C79D9FF4Q57310391-E8F3C204-9C05-4C24-A825-231942F800D6Q58169516-110302AC-54E3-4C88-BEC6-3FF1270CE6D0
P2860
Multiple correlation: exact power and sample size calculations.
description
1989 nî lūn-bûn
@nan
1989年の論文
@ja
1989年学术文章
@wuu
1989年学术文章
@zh
1989年学术文章
@zh-cn
1989年学术文章
@zh-hans
1989年学术文章
@zh-my
1989年学术文章
@zh-sg
1989年學術文章
@yue
1989年學術文章
@zh-hant
name
Multiple correlation: exact power and sample size calculations.
@en
Multiple correlation: exact power and sample size calculations.
@nl
type
label
Multiple correlation: exact power and sample size calculations.
@en
Multiple correlation: exact power and sample size calculations.
@nl
prefLabel
Multiple correlation: exact power and sample size calculations.
@en
Multiple correlation: exact power and sample size calculations.
@nl
P1476
Multiple correlation: exact power and sample size calculations.
@en
P2093
Gatsonis C
Sampson AR
P304
P356
10.1037/0033-2909.106.3.516
P577
1989-11-01T00:00:00Z