Les recherches sur la probabilité des jugements de Simon-Denis Poisson

Marec, Yannick

doi:10.3406/hism.1987.1311

Cited by 25 publications

(4 citation statements)

References 2 publications

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“…For example, it was condemned by Pope Pius VII and poorly received by the university (Barbin and Marec 1987 ) . For example, it was condemned by Pope Pius VII and poorly received by the university (Barbin and Marec 1987 ) .…”

Section: Application To Social Sciencementioning

confidence: 99%

Probability and Social Science

Courgeau

2012

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This Book Series is devoted to examining and solving the major methodological problems social sciences are facing. Take for example the gap between empirical and theoretical research, the explanatory power of models, the relevance of multilevel analysis, the weakness of cumulative knowledge, the role of ordinary knowledge in the research process, or the place which should be reserved to "time, change and history" when explaining social facts. These problems are well known and yet they are seldom treated in depth in scientifi c literature because of their general nature. So that these problems may be examined and solutions found, the series prompts and fosters the setting-up of international multidisciplinary research teams, and it is work by these teams that appears in the Book Series. The series can also host books produced by a single author which follow the same objectives. Proposals for manuscripts and plans for collective books will be carefully examined. The epistemological scope of these methodological problems is obvious and resorting to Philosophy of Science becomes a necessity. The main objective of the Series remains however the methodological solutions that can be applied to the problems in hand. Therefore the books of the Series are closely connected to the research practices.

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Section: Application To Social Sciencementioning

confidence: 99%

Probability and Social Science

Courgeau

2012

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“…Abundant cell populations generally follow Gaussian distributions, whereas the distribution of rare events is governed by Poisson statistics [21]. Poisson distribution applies to counting experiments and is useful for characterizing the spread of events with very low probabilities [12].…”

Section: Discussionmentioning

confidence: 99%

“…According to the optimization step, samples diluted 1/100-1/200 were acquired at 200, 500, and 1000 μl/min. The minimum number of acquired events was established according to statistical significance and rare cell detection theory [2,21].…”

Section: Minimal Sample Perturbation Assaymentioning

confidence: 99%

“…First, the minimum number of total events that need to be acquired, as determined from the expected frequency of the target cell population [1,2,[18][19][20]. Second, Poisson theory [21], as related to the minimum number of acquired events needed to keep the coefficient of variation (CV) value below 5%, with statistical significance. In the case of 0.01% cells, at least four million events should be acquired for the statistically significant detection of minority events [2,19,22].…”

Section: Introductionmentioning

confidence: 99%

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Impact of red blood cell lysing on rare event analysis

et al. 2022

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The challenges associated with analyzing rare cells are dependent on a series of factors, which usually require large numbers of cells per sample for successful resolution. Among these is determining the minimum number of total events needed to be acquired as defined by the expected frequency of the target cell population. The choice of markers that identify the target population, as well as the event rate and the number of aborted events/second, will also determine the statistically significant detection of rare cell events. Sample preparation is another important but often overlooked factor in rare cell analysis, and in this study we examine Poisson theory and methods to determine the effect of sample manipulation on rare cell detection. After verifying the applicability of this theory, we have evaluated the potential impact of red cell lysis on rare cell analysis, and how cell rarity can be underestimated or overestimated based on erythrolytic sensitivity or resistance of healthy leukocytes and pathological rare cells.

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The Epistemic Approach: Logicist Interpretation

Courgeau

2012

Probability and Social Science

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Les recherches sur la probabilité des jugements de Simon-Denis Poisson

Cited by 25 publications

References 2 publications

Probability and Social Science

Probability and Social Science

Impact of red blood cell lysing on rare event analysis

The Epistemic Approach: Logicist Interpretation

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