Sample size: how many patients are necessary? - Wikidata - wikimedia - TriplyDB

Sample size: how many patients are necessary?

Sample size: how many patients are necessary?

http://www.wikidata.org/entity/Q42591001

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Day-to-day variations during clinical drug monitoring of morphine, morphine-3-glucuronide and morphine-6-glucuronide serum concentrations in cancer patients. A prospective observational study Methodological challenges in the evaluation of prognostic factors in breast cancer.Sample size matters: a guide for surgeons.Sample size calculation for clinical trials: the impact of clinician beliefs.Occult axillary lymph node metastases are of no prognostic significance in breast cancer.Sample sizes for cancer trials where Health Related Quality of Life is the primary outcome.Estimating sample sizes for binary, ordered categorical, and continuous outcomes in two group comparisons.Influences on serum concentrations of morphine, M6G and M3G during routine clinical drug monitoring: a prospective survey in 300 adult cancer patients.Investigation of alpha band of the electroencephalogram before and after a task of proprioceptive neuromuscular facilitation.The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences.Sample size considerations for the evaluation of prognostic factors in survival analysis.Low-frequency rTMS in the superior parietal cortex affects the working memory in horizontal axis during the spatial task performance.

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P2860

Sample size: how many patients are necessary?

http://www.wikidata.org/entity/Q42591001

description

1995 nî lūn-bûn

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1995年の論文

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1995年論文

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1995年論文

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1995年論文

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1995年論文

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1995年論文

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1995年论文

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1995年论文

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1995年论文

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Sample size: how many patients are necessary?

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Sample size: how many patients are necessary?

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Sample size: how many patients are necessary?

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Sample size: how many patients are necessary?

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British Journal of Cancer

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Sample size: how many patients are necessary?

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Towards a reduction in publication bias

Publication bias and clinical trials.

The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials.

Use of check lists in assessing the statistical content of medical studies.

Statistical guidelines for contributors to medical journals.

The future of prognostic factors in outcome prediction for patients with cancer.

The size of clinical trials in cancer research--what are the current needs? Medical Research Council Cancer Therapy Committee.

Publication bias: the case for an international registry of clinical trials.

The combination of randomized and historical controls in clinical trials.

On the development of the Medical Research Council trial of alpha-interferon in metastatic renal carcinoma. Urological Working Party Renal Carcinoma Subgroup.

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10.1038/BJC.1995.268

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1

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biomedical investigative technique

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2034119

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