Statistical analysis of survey-based event history data with application to modeling of unemployment duration

Longitudinal surveys are increasingly used to collect event history data on person-specific processes such as transitions between labour market states. Surveybased event history data pose a number of challenges for statistical analysis. These challenges include survey errors due to sampling, non-response, attrition and measurement. This study deals with non-response, attrition and measurement errors in event history data and the bias caused by them in event history analysis. The study also discusses some choices faced by a researcher using longitudinal survey data for event history analysis and demonstrates their effects. These choices include, whether a design-based or a model-based approach is taken, which subset of data to use and, if a design-based approach is taken, which weights to use. The study takes advantage of the possibility to use combined longitudinal survey register data. The Finnish subset of European Community Household Panel (FI ECHP) survey for waves 1–5 were linked at person-level with longitudinal register data. Unemployment spells were used as study variables of interest. Lastly, a simulation study was conducted in order to assess the statistical properties of the Inverse Probability of Censoring Weighting (IPCW) method in a survey data context. The study shows how combined longitudinal survey register data can be used to analyse and compare the non-response and attrition processes, test the missingness mechanism type and estimate the size of bias due to non-response and attrition. In our empirical analysis, initial non-response turned out to be a more important source of bias than attrition. Reported unemployment spells were subject to seam effects, omissions, and, to a lesser extent, overreporting. The use of proxy interviews tended to cause spell omissions. An often-ignored phenomenon classification error in reported spell outcomes, was also found in the data. Neither the Missing At Random (MAR) assumption about non-response and attrition mechanisms, nor the classical assumptions about measurement errors, turned out to be valid. Both measurement errors in spell durations and spell outcomes were found to cause bias in estimates from event history models. Low measurement accuracy affected the estimates of baseline hazard most. The design-based estimates based on data from respondents to all waves of interest and weighted by the last wave weights displayed the largest bias. Using all the available data, including the spells by attriters until the time of attrition, helped to reduce attrition bias. Lastly, the simulation study showed that the IPCW correction to design weights reduces bias due to dependent censoring in design-based Kaplan-Meier and Cox proportional hazard model estimators. The study discusses implications of the results for survey organisations collecting event history data, researchers using surveys for event history analysis, and researchers who develop methods to correct for non-sampling biases in event history data.

Competitiveness Survey of a Biofuel Power Plant

Työn tarkoituksena on tarkastella Euroopan siirtymätalousalueelta kotimaisen biopoltto-ainevoimalaitoksen kilpailukykyä potentiaalisimmiksi markkinakohteiksi arvioitujen nykyisten Eu-valtioiden osalta. Työ tehdään osana kokoluokaltaan 3,5 MWth/1,0 MWe pienvoimalaitoksen tuotekehityshanketta, joka on käynnistynyt Varkaudessa tämän vuoden maaliskuussa. Potentiaalisimpien siirtymätalousmaiden valintakriteereinä on käytetty aiempia tutkimuksia ja raportteja. Huomio keskitetään kiinteän biopolttoaineen resursseihin ja biopolttoaineisiin pohjautuvalle energiantuotannolle asetettuihin tavoitteisiin. Edellä mainittujen kriteerien pohjalta tarkasteltaviksi valittujen valtioiden osalta tehtiin tarkemmat kilpailukykyanalyysit, otettiin yhteyttä markkina-alueeltaalan ammattilaisiin ja kartoitettiin potentiaalisimmat markkinakohteet. Tavoitteena on arvioida varteenotettavin kilpailija kiinteisiin biopolttoaineisiin pohjautuvalle sähkön ja lämmön yhteistuotannolle, jonka perusteella laaditaan mallivoimalaitoksen kilpailukykyisen hinnan määrittämiseksi tiettyyn takaisinmaksuaikaan ja korkotekijään perustuen. Lopulta tehdään maakohtaisesti yhteenveto merkittävimmistä markkinapotentiaaliin vaikuttavista kilpailutekijöistä, arvioidaan potentiaalisin kohdemaa sekä esitetään mahdollinen investoinnin rahoitusvaihtoehto ja keinoja markkinoida tuotetta potentiaalisille asiakkaille.

Utilization of non-wood pulp in different fibers products

The correct utilization of non-wood raw material allows reducing tree cutting and reduces emissions of carbon dioxide from burning of non-wood plants on farmers fields. Also it allows increasing economical situation in regions that non-wood plants are grown and where they are converted into pulp and paper. Also it gives positive effect on population pressure of work by addition of working place. In the literature survey included an overview of the historical meaning of non-wood pulp on developing paper production and structure of non-wood pulps. Moreover, anatomical and chemical composition of straw, reed and bamboo were studied more detailed. Also, an overview of the utilization of non-wood pulp in papermaking was made. Especially tissue, tree-free and release papers were reviewed. In the experimental part the goal was to investigate suitability of non-wood pulp like wheat straw pulp and bamboo pulp for different fiber products. Finally release and tree-free paper products were selected for experimental studies. It was discovered that wheat straw, especially screened wheat straw, showed good results for release paper. Also utilization of wheat straw and bamboo pulp in tree-free paper showed good results and suitability of these non-wood pulps for tree-free paper production. Also it was noticed that addition of wheat straw pulp gave positive effect on initial wet strength for release and tree-free paper.

Health Related Quality of Life after Childhood Cancer - A Finnish Nationwide survey

The purpose of this Finnish epidemiological nationwide cross-sectional study was to evaluate the Health Related Quality of Life (HRQL) of young people that have survived childhood cancer at least four years after cancer diagnosis. The study aims were (1) to increase knowledge and understanding about the relationship between childhood cancer and its treatment and HRQL of childhood cancer survivors and (2) to identify survivors who need and could benefit from ongoing long-term follow-up, as well as (3) to identify what kind of aftercare the childhood cancer survivors will possibly need. HRQL and fatigue of currently still young survivors of extracranial childhood malignancies were evaluated with self-reports and parent proxy reports. HRQL was measured with age-appropriate generic instruments: PedsQL™, SF-36, 15D, 16D and 17D. Fatigue for children and adolescents aged below 18 years was measured with the PedsQL™ Multidimensional Fatigue Scale Finnish version. PedsQL™ parent-proxy and the PedsQL™ Multidimensional Fatigue Scale Parentproxy instruments were used to assess the perception of the parents on HRQL and fatigue of their children and adolescents. Postal-survey questionnaires were mailed to 852 childhood cancer survivors aged 11-27 years and their randomly selected gender-, age and living-place matched controls, as well as under 18-year-old children´s parents. A total of 474 survivors, 595 controls, 209 survivor’s parent and 253 control’s parent replied. The mean age of survivors at the time of the study was 18.4 years. The mean length of survival was 12.3 years, and the mean age at diagnosis 5.5 years. The most of the Finnish childhood cancer survivors evaluated that their HRQL as good. Survivors rated their HRQL equal or higher than their controls. The only dimension where the survivors scored poorer than the controls was the 15D mobility dimension. Survivors of childhood cancer did not suffer from significant fatigue. There were subgroups of childhood cancer survivors who had poorer level of HRQL, and suffered from fatigue more than the reference group. The demographic factors that associated with poorer HRQL were female gender, greater weight, living alone, need of remedial education, an additional non-cancer diagnosis, survivors with siblings, and self-reported unhappiness. Disease-related factors that associated with poorer HRQL were higher age at the time of diagnosis, the diagnosis of Wilms tumor, neuroblastoma, or osteosarcoma, and treatment with stem cell transplantation. The factors associated with more fatigue in survivors were male gender, older age at evaluation, the need of remedial education at school, lower overall average grade in the latest school marks report, length of survival more than 10 years, lower HRQL-scores, and a sarcoma diagnosis. However, all the used demographic and disease related factors explained only about one third of the variation in the HRQL scores. In open questions, the survivors were most worried about their physical health, but were also worried about their mental health, cancer inheritance, late-effects, and fertility and relapse issues. It seems that there are subgroups of survivors who need and could benefit from ongoing long-term follow-up. In the future, the survivors of childhood cancer need more information about their physical and mental health, as well as on their cancer inheritance, possible late-effects including fertility issues, and on the risk of relapse.