Sociomonetary patterns and specifications

Epelbaum, Michael

doi:10.1016/0049-089x(90)90002-z

Cited by 6 publications

(4 citation statements)

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“…The present investigation suggests that addition of lifespan, contemporary aggregate size, or lifespan aggregate size variables to the right-hand side of regression models of mortality or survivorship – and employment of multivariable limited powered polynomials regression models – reduce or eliminate these biases. Furthermore, as noted, previous research shows that trajectories of mortality or survivorship tend to be nonlinear [31] , [32] , that mortality and survivorship correspond to power laws and scaling laws [22] , [26] , [30] , [35] , [48] – [53] , [60] , [72] – [81] , and that previous models of mortality or survivorship are encumbered by the age-period-cohort problem of separating the effects of age-groups, periods, and cohorts in regression models [23] , [36] – [40] . The present investigation suggests that multivariable limited powered polynomials binary regression models of mortality or survivorship help capture nonlinearity, contribute to analyses of power laws and scaling laws, and provide a useful solution to the age-period-cohort problem.…”

Section: Discussionmentioning

confidence: 84%

“…Furthermore, previous research shows that trajectories of specific mortality or survivorship tend to be nonlinear [31] , [32] ; therefore, the explanatory multivariable binary response model of mortality or survivorship should allow for nonlinearity. Previous research also shows that mortality and survivorship correspond to power laws and scaling laws [22] , [26] , [30] , [35] , [48] – [53] , [60] , [72] – [81] ; therefore, the explanatory multivariable nonlinear binary response model of mortality or survivorship should enable investigation of power laws and scaling laws. The multivariable fractional polynomials regression model-building approach [31] , [32] , [34] enables investigation of explanatory multivariable nonlinear binary response models of mortality or survivorship.…”

Section: Methodsmentioning

confidence: 99%

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Lifespan and Aggregate Size Variables in Specifications of Mortality or Survivorship

Epelbaum¹

2014

PLoS ONE

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A specification of mortality or survivorship provides respective explicit details about mortality's or survivorship's relationships with one or more other variables (e.g., age, sex, etc.). Previous studies have discovered and analyzed diverse specifications of mortality or survivorship; these discoveries and analyses suggest that additional specifications of mortality or survivorship have yet to be discovered and analyzed. In consistency with previous research, multivariable limited powered polynomials regression analyses of mortality and survivorship of selected humans (Swedes, 1760–2008) and selected insects (caged medflies) show age-specific, historical-time-specific, environmental-context-specific, and sex-specific mortality and survivorship. These analyses also present discoveries of hitherto unknown lifespan-specific, contemporary-aggregate-size-specific, and lifespan-aggregate-size-specific mortality and survivorship. The results of this investigation and results of previous research help identify variables for inclusion in regression models of mortality or survivorship. Moreover, these results and results of previous research strengthen the suggestion that additional specifications of mortality or survivorship have yet to be discovered and analyzed, and they also suggest that specifications of mortality and survivorship indicate corresponding specifications of frailty and vitality. Furthermore, the present analyses reveal the usefulness of a multivariable limited powered polynomials regression model-building approach. This article shows that much has yet to be learned about specifications of mortality or survivorship of diverse kinds of individuals in diverse times and places.

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Section: Discussionmentioning

confidence: 84%

Section: Methodsmentioning

confidence: 99%

Lifespan and Aggregate Size Variables in Specifications of Mortality or Survivorship

Epelbaum¹

2014

PLoS ONE

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“…Dominances between corresponding mortacauses and vitacauses of tetraeffective causes of mortality and survivorship are some of the diverse characteristics, processes, or operations that are involved in these tetraeffective causes. Subject to critiques and debates [157][158][159][160][161][162], previous research shows that power laws and other invariants modulate effects on mortality and survivorship [112,123,[163][164][165][166][167][168]. Previous research also shows that mortality and survivorship are affected by an invariant kind of frailty [44][45][46]128,129], a variable kind of frailty [130][131][132][133], an invariant kind of vitality [44,45,47,144,146,150], and a variable kind of vitality [69,91,108,[151][152][153][154][155].…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, Strehler-Mildvan correlations [66,78,[91][92][93][94][95], compensations [66,67,88,95], decelerations [64,[95][96][97][98][99][100][101][102][103][104][105][106][107][108], and hysteresis or delays [89,109,110] in effects of age on mortality and survivorship provide suggestive evidence of age-specific mortacauses and vitacauses that negatively and positively affect mortality and survivorship. Moreover, there is ample evidence of nonlinear or varying effects of socioeconomic causes on mortality and survivorship; such socioeconomic effects include, for example, effects of educational attainment, race, gender, income, and economic development [15,[84][85][86][111][112][113][114][115][116][117][118][119][120][121]; nonlinear or varying effects provide suggestive evidence of socioeconomic-specific mortacauses and vitacaus...…”

Section: Suggestive Evidence Of Tetraeffective Causes Of Mortality Anmentioning

confidence: 99%

Tetraeffective causes, mortacauses, and vitacauses of mortality and survivorship

Epelbaum¹

2016

Preprint

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Any cause that negatively affects mortality, positively affects mortality, negatively affects survivorship, and positively affects survivorship is tetraeffective (i.e., having four kinds of effects). However, until now, tetraeffective causes of mortality and survivorship have been undescribed, unidentified, unnamed, unrecognized, unclear, misconceived, unspecified, and unexplained. Here I describe, identify, name, recognize, elucidate, conceptualize, specify, and explain tetraeffective causes of mortality and survivorship. I show that every tetraeffective cause of mortality and survivorship combines corresponding at least one mortacause and at least one vitacause; "mortacause" refers here to a cause that positively affects mortality and negatively affects survivorship, and "vitacause" refers to a cause that positively affects survivorship and negatively affects mortality. I present strong rationales that suggest that every cause of mortality and survivorship is tetraeffective, and I present references to considerable previous evidence that I interpret to be suggestive evidence of tetraeffective causes of mortality and survivorship. Moreover, rigorous and thorough multivariable analyses of mortality and survivorship of humans and medflies provide here direct evidence of tetraeffective causes of mortality and survivorship, revealing best-fitting specifications dY/d(X p ) = a + bX p such that sign(a) = -sign(bX p ), where: Y indicates mortality or survivorship; X indicates age, lifespan, contemporary aggregate size, lifespan aggregate size, or historical time; dY/d(X p ) indicates composite effects of X p on Y; a indicates an Xspecific mortacause or vitacause; bX p indicates the corresponding opposite X-specific mortacause or vitacause; and coefficients a, b, and p denote respective X-specific and entityspecific constants. Thus description, identification, naming, recognition, elucidation, conception, specification, explanation, and demonstration of tetraeffective causes of mortality and survivorship usher a new paradigm of causes of mortality and survivorship and enable and promote further scientific research and practical applications. Figure 3. A causal structure of a tetraeffective cause of mortality and survivorship. X denotes a cause of mortality M and survivorship S, Xm denotes an X-specific mortacause, Xs denotes an X-specific vitacause, double dotted lines denote that Xm and Xv are X-specific, arrow → denotes positive effects, and arrow ----> denotes negative effects. Xm M Xv S X

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Managing knowledge and corporate performance: an empirical analysis of the world automobile industry

Vekstein

1998

Omega

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Sociomonetary patterns and specifications

Cited by 6 publications

References 76 publications

Lifespan and Aggregate Size Variables in Specifications of Mortality or Survivorship

Lifespan and Aggregate Size Variables in Specifications of Mortality or Survivorship

Tetraeffective causes, mortacauses, and vitacauses of mortality and survivorship

Managing knowledge and corporate performance: an empirical analysis of the world automobile industry

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