Multivariate Logistic Regression Analysis Sample Clauses

Multivariate Logistic Regression Analysis. An analysis of the multivariate logistic regression showed that demographic factors that aggravated women’s sleep quality were chronic illness and having below average financial status, as mentioned in the literature review above. Being a female in above-average financial group was protective for them against being a bad sleeper. These two results related to wealth indicated that females in KSA might have been worried about financial issues, which could have affected them positively or negatively. For males, having a chronic disease or being young are aggravating factors to be a bad sleeper, while being a rural resident is a protective factor. Being a young male in KSA (25-44) may have stressors like taking care of old parents and small kids, as well as fulfilling duties for other members of the extended family. Also, since men are the only ones who drive, many young men are required to do the shopping and take relatives places in addition to their work. I think all of these factors combine to make them bad sleepers. However, being a rural resident may mean having less work and less stress, leading to better sleep quality. An analysis of sleep factors for both males and females showed similar results. The more time it took to fall asleep, the greater the chance of being a bad sleeper. The longer the person slept, the better the chance of being a good sleeper. Interestingly, time to go to bed and time to wake up were insignificant (i.e., were not related to sleep quality). As mentioned, the number of sleep hours has the most effect on sleep quality, so it may not matter when people went to bed or woke up if they had enough sleep hours.
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Multivariate Logistic Regression Analysis. A weighted multivariate logistic regression analysis was employed to study the relationship between social support during pregnancy and postpartum depressive symptomology. The full model incorporates all sociodemographic, maternal, and pregnancy-related characteristics of interest from the previous literature, as well as survey year to control for potential differences in sampled characteristics between 2012-2013 and 2014. Additionally, based on the preliminary assessment, correlates were chosen as potential effect measure modifiers if there was evidence that the estimated effect between low social support and PPD differed between levels of the variable, indicated by a jointly significant interaction term at a p-value < 0.20. The results of the interaction assessment can be found in Table 4 of Appendix II. The variables included as potential effect measure modifiers were maternal education, marital status, abuse before or during pregnancy, and cigarette use during pregnancy. Therefore, the full model included the exposure, 13 correlates, and 4 interaction terms:

Related to Multivariate Logistic Regression Analysis

  • Investment Analysis and Implementation In carrying out its obligations under Section 1 hereof, the Advisor shall: (a) supervise all aspects of the operations of the Funds; (b) obtain and evaluate pertinent information about significant developments and economic, statistical and financial data, domestic, foreign or otherwise, whether affecting the economy generally or the Funds, and whether concerning the individual issuers whose securities are included in the assets of the Funds or the activities in which such issuers engage, or with respect to securities which the Advisor considers desirable for inclusion in the Funds' assets; (c) determine which issuers and securities shall be represented in the Funds' investment portfolios and regularly report thereon to the Board of Trustees; (d) formulate and implement continuing programs for the purchases and sales of the securities of such issuers and regularly report thereon to the Board of Trustees; and (e) take, on behalf of the Trust and the Funds, all actions which appear to the Trust and the Funds necessary to carry into effect such purchase and sale programs and supervisory functions as aforesaid, including but not limited to the placing of orders for the purchase and sale of securities for the Funds.

  • Quantitative Analysis Quantitative analysts develop and apply financial models designed to enable equity portfolio managers and fundamental analysts to screen potential and current investments, assess relative risk and enhance performance relative to benchmarks and peers. To the extent that such services are to be provided with respect to any Account which is a registered investment company, Categories 3, 4 and 5 above shall be treated as “investment advisory services” for purposes of Section 5(b) of the Agreement.”

  • Random Drug Testing All employees covered by this Agreement shall be subject to random drug testing in accordance with Appendix D.

  • Human Leukocyte Antigen Testing This plan covers human leukocyte antigen testing for A, B, and DR antigens once per member per lifetime to establish a member’s bone marrow transplantation donor suitability in accordance with R.I. General Law §27-20-36. The testing must be performed in a facility that is: • accredited by the American Association of Blood Banks or its successors; and • licensed under the Clinical Laboratory Improvement Act as it may be amended from time to time. At the time of testing, the person being tested must complete and sign an informed consent form that also authorizes the results of the test to be used for participation in the National Marrow Donor program.

  • Conformity Assessment Procedures 1. Each Party shall give positive consideration to accepting the results of conformity assessment procedures of other Parties, even where those procedures differ from its own, provided it is satisfied that those procedures offer an assurance of conformity with applicable technical regulations or standards equivalent to its own procedures. 2. Each Party shall seek to enhance the acceptance of the results of conformity assessment procedures conducted in the territories of other Parties with a view to increasing efficiency, avoiding duplication and ensuring cost effectiveness of the conformity assessments. In this regard, each Party may choose, depending on the situation of the Party and the specific sectors involved, a broad range of approaches. These may include but are not limited to: (a) recognition by a Party of the results of conformity assessments performed in the territory of another Party; (b) recognition of co-operative arrangements between accreditation bodies in the territories of the Parties; (c) mutual recognition of conformity assessment procedures conducted by bodies located in the territory of each Party; (d) accreditation of conformity assessment bodies in the territory of another Party; (e) use of existing regional and international multilateral recognition agreements and arrangements; (f) designating conformity assessment bodies located in the territory of another Party to perform conformity assessment; and (g) suppliers’ declaration of conformity. 3. Each Party shall exchange information with other Parties on its experience in the development and application of the approaches in Paragraph 2(a) to (g) and other appropriate approaches with a view to facilitating the acceptance of the results of conformity assessment procedures. 4. A Party shall, upon request of another Party, explain its reasons for not accepting the results of any conformity assessment procedure performed in the territory of that other Party.

  • Periodic Review of Costs of Environmental Compliance In the ordinary course of its business, the Company conducts a periodic review of the effect of Environmental Laws on the business, operations and properties of the Company and its subsidiaries, in the course of which it identifies and evaluates associated costs and liabilities (including, without limitation, any capital or operating expenditures required for clean-up, closure of properties or compliance with Environmental Laws or any permit, license or approval, any related constraints on operating activities and any potential liabilities to third parties). On the basis of such review and the amount of its established reserves, the Company has reasonably concluded that such associated costs and liabilities would not, individually or in the aggregate, result in a Material Adverse Change.

  • Acceptance Testing At the time of installation of a LIS trunk group, and at no additional charge, acceptance tests will be performed to ensure that the service is operational and meets the applicable technical parameters.

  • Meteorological Data Reporting Requirement (Applicable to wind generation facilities only)

  • Drug Testing (A) The state and the PBA agree to drug testing of employees in accordance with section 112.0455, F.S., the Drug-Free Workplace Act. (B) All classes covered by this Agreement are designated special risk classes for drug testing purposes. Special risk means employees who are required as a condition of employment to be certified under Chapter 633 or Chapter 943, F.S. (C) An employee shall have the right to grieve any disciplinary action taken under section 112.0455, the Drug-Free Workplace Act, subject to the limitations on the grievability of disciplinary actions in Article 10. If an employee is not disciplined but is denied a demotion, reassignment, or promotion as a result of a positive confirmed drug test, the employee shall have the right to grieve such action in accordance with Article 6.

  • Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.‌ b. A description or identification of the statistical sampling software package used by the IRO.‌

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